Video and Image Processing
Blockset™ Release Notes
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Video and Image Processing Blockset™ Release Notes
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Summary by Version ............................... 1
Version 3.0 (R2010a) Video and Image Processing
Blockset
Version 2.8 (R2009b) Video and Image Processing
Blockset
Version 2.7 (R2009a) Video and Image Processing
Blockset
Version 2.6 (R2008b) Video and Image Processing
Blockset
Version 2.5 (R2008a) Video and Image Processing
Blockset
........................................ 4
........................................ 8
........................................ 11
........................................ 14
........................................ 18
Contents
Version 2.4 (R2007b) Video and Image Processing
Blockset
Version 2.3 (R2007a) Video and Image Processing
Blockset
Version 2.2 (R2006b) Video and Image Processing
Blockset
Version 2.1 (R2006a) Video and Image Processing
Blockset
Version 2.0 (R14SP3+) Video and Image Processing
Blockset
Version 1.2 (R14SP3) Video and Image Processing
Blockset
........................................ 23
........................................ 30
........................................ 36
........................................ 40
........................................ 42
........................................ 45
iii
Version 1.1 (R14SP2) Video and Image Processing
Blockset
Version 1.0.1 (R14SP1) Video and Image Processing
Blockset
Version 1.0 (R14) Video and Image Processing
Blockset
Compatibility Summary for Video and Image
Processing Blockset
........................................ 48
........................................ 51
........................................ 52
............................. 56
iv Contents
SummarybyVersion
This table provides quick access to what’s new in each version. For
clarification, see “Using Release Notes” on page 2 .
Video and Image Processing Blockset™ Release Notes
Version
(Release)
Latest Versi
V3.0 (R2010a
V2.8 (R2009b)
V2.7 (R2009a)
V2.6 (R2
V2.5 (R2008a)
V2.4 (R2007b)
V2.3
008b)
(R2007a)
New Features
and Changes
on
Yes
)
Details
Yes
Details
Yes
Details
Yes
Details
Yes
Details
Yes
Detai
Yes
Details
Ver sion
Compatibilit
Consideratio
No Bug Reports
No Bug Reports
No Bug Repo
Yes
Summary
Yes
Summary
Yes
ls
Summa
Yes
Summary
ry
y
ns
Fixed Bugs
and Known
Problems
Includes fix
Includes fixes
Include
Bug Reports
Includes fixes
Bug Reports
Includes fixes
Bug Re
des fixes
Inclu
Bug Reports
Includes fixes
es
rts
sfixes
ports
Related
Documentation
at Web Site
Printable
Release Notes:
PDF
Current product
documentation
No
No
No
No
No
No
V2.2 (R2006b)
V2.1 (R2006a)
Yes
Details
Yes
Details
Yes
Summary
Yes
Summary
Bug Reports
Includes fixes
Bug Reports
at Web site
No
No
1
Video and Image Processing Blockset™ Release Notes
Version
(Release)
V2.0 (R14SP3+)
V1.2 (R14SP3)
V1.1 (R14SP2)
V1.0.1 (R14SP1)
V1.0 (R14)
New Features
and Changes
Yes
Details
Yes
Details
Yes
Details
Yes
Details
Yes
Details
Ver sion
Compatibility
Considerations
No Bug Reports
Yes
Summary
Yes
Summary
No
No
Fixed Bugs
and Known
Problems
at Web site
Bug Reports
at Web site
Bug Reports
at Web site
Fixed bugs
No bug fixes
Related
Documentation
at Web Site
No
No
No
No
No
Using Release Notes
Use release notes when upgrading to a newer version to learn about:
• New features
• Changes
• Potential impact on your existing files and practices
Review the release notes for other MathWorks™ products required for this
product (for example, MATLAB
bugs, or compatibility considerations in other products impact you.
If you are upgrading from a software version other than the m ost recent one,
review the current release notes and all interim versions. For example, when
you upg rade from V1.0 to V1.2, review the release notes for V1.1 and V1.2.
®
or Simulink®). Determine if enhancements,
What Is in the Release Notes
New Features and Changes
• New functionality
2
SummarybyVersion
• Changes to existing functionality
Version Compatibility Con si derations
When a new feature or change introduces a reported incompatibility between
versions, the Compatibility Considerations subsection explains the
impact.
Compatibility issues reported after the product release appear under Bug
Reports at The MathWorks™ Web site. Bug fixes can sometimes result
in incompatibilities, so review the fixed bugs in Bug Reports for any
compatibility impact.
Fixed Bugs and Known Problems
The MathWorks offers a user-searchable Bug Reports database so you can
view Bug Reports. The development team updates this database at release
time and as more information becomes available. Bug Reports include
provisions for any known workarounds or file replacem ents. Information is
available for bugs existing in or fixed in Release 14SP2 or later. Information
is not avail able for all bugs in earlier releases.
Access Bug Reports using y our MathWorks Account.
3
Video and Image Processing Blockset™ Release Notes
Version 3.0 (R2010a) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
No Bug Reports
• “New System Obje cts Provide Video and Image Processing Algorithms for
use in MA TLAB ” on page 4
• “Intel Integrated Performance Primitives Library Support Added to 2-D
Correlation, 2-D Convolution, and 2-D FIR Filter Blocks” on page 5
• “Variable Size Data Support” on page 5
• “Expanded From and To Mu lti media File Blocks with Addi tio na l Video
Formats” on page 6
• “New Simulink Demos” on page 6
• “New System Object Demos” on page 6
• “SAD Block Obsoleted” on page 7
arizes what’s new in Version 3.0 (R2010a):
Fixed Bugs an d
Known Problems
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
New System Objects Provide Video and Image
Processing Algorithms for use in MATLAB
System objects are algorithms that provide stream processing, fixed-point
modeling, and code generation capabilities for use in MATLAB programs.
These new objects allow you to use video and image processing algorithms
in MATLAB, providing the same parameters, numerics and performance
as corresponding Video and Image Processing Blockset™ blocks. System
objects can also be used in Simulink models via the Embedded MATLAB
Function block.
4
®
Version 3.0 (R2010a) Video and Image Processing Block set™
Intel Integrated Performance Primitives Library
Support Added to 2-D Correlation, 2-D Convolution,
and 2-D FIR Filter Blocks
The 2-D C orrelation, 2-D Convolution, and 2-D FIR Filter blocks are now
taking advantage o f SSE Intel instruction set and multi-core processor
capabilities for double and single data types.
Variable Size Data Support
Several Video and Image Processing Blockset blocks now support changes in
signal size during simulation. The following blocks support variable size
data as of this release:
2-D FFT
2-D FIR Filter
Apply Geometric Transformation
Autothreshold
Bottom-hat Label
Chroma Resampling
Closing
Color Space Conversion
Compositing
Contrast Adjustment Opening
Dilation
Edge Detection
Erosion Template Matching
Estimate Geometric Trans formation
Find Local Maxima Top-hat
Frame Rate Display Variance
Gaussian Pyramid
Hough Transform
ImageDataTypeConversion
Image Pad
Insert Text
Maximum
Mean
Median
Minimum
Rotate
Standard Deviation
To Video Display
Video Viewer
5
Video and Image Processing Blockset™ Release Notes
See “Working with Variable-Size Signals” for more information about variable
size data.
Expanded From and To Multimedia File Blocks with
Additional Video Formats
The To Multimedia File and From Multimedia File blocks now support 4:2:2
YCbCr video formats.
TheToMultimediaFileblocknowsupports
Windows
streams over the network.
®
platforms. This block now supports broadcasting WMV and WMA
WMV, WM A,andWAV file formats on
New Simulink Demos
The Video and Image Processing Blockset contain new and enhanced demos.
New Modeling a Video Processing System for an FPGA Target
Demo
This demo uses the Video and Image Processing Blockset™ in conjunction
with Simulink HDL Coder™ to sho w a design workflow for generating
Hardware Design Language (HDL) code suitable for targeting video
processing application on an FPGA. The demo reviews how to design a system
that can operate on hardware.
New System Object Demos
New Image Rectification Demo
This demo shows how to rectify tw o uncalibrated images where the camera
intrinsics are unknown. Rectification is a useful procedure in many computer
vision applications. For example, in stereo vision, it can be used to reduce a
2-D matching problem to a 1-D search. This demo is a prerequisite for the
Stereo Vision demo.
New Stereo Vision Demo
This demo computes the depth map between two rectified stereo images using
block matching, which is the standard algorithm for high-speed stereo vision
6
Version 3.0 (R2010a) Video and Image Processing Block set™
in hardware systems. It further explores dynamic programming to improve
accuracy, and image pyramiding to improve speed.
New Video Stabilization Using Point Feature Matching
This demo uses a p oint feature matching approach for video stabilization,
which does not require knowledge of a feature or region of the image to
track. The demo a utomatically searches for the background plane in a video
sequence, and uses its observed distortion to correct for camera motion. This
demo presents a more advance d algorithm in comparison to the existing Video
Stabilization demo in Simulink.
SAD Block Obsoleted
The new Template Matching block introduced in the previous release,
supports Sum of Absolute Differences (SAD) algorithm. Consequently, the
SAD Block has been obsoleted.
7
Video and Image Processing Blockset™ Release Notes
Version 2.8 (R2009b) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
No Bug Reports
• “New Template Matching Block with Support for Several Match Metrics
and Region of Interest Processing” on page 8
• “Variable Size Data Support” on page 9
• “Expanded From Multimedia File Block to Support Additional Video
Codecs” on page 9
• “Enhanced Demos” on page 9
arizes what’s new in Version 2.8 (R2009b):
Fixed Bugs an d
Known Problems
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
New Template Matching Block with Support for
Several Match Metrics and Region of Interest
Processing
Template matching is a common operation used to lo cate a template in
an image. The new Template Matching block improves upon the existing
SAD (Sum of Absolute Differences) block by incorporating additional match
metrics. Th is new block supports Sum of Absolute Differences (SAD), Sum of
Squared Differences (SSD), and Maximum Absolute Difference algorithms.
It also supports Region of Interest processing (ROI). This block replaces the
SAD block, which will be obsolete in a future release.
8
Version 2.8 (R2009b) Video and Image Processing Block set™
Variable Size Da
Several Video an
signal size duri
data as of this r
• Draw Shapes
• Draw Markers
• Blob Analysi
• Find Local Ma
• Corner Dete
• Hough Lines
Expanded F
Additiona
This rele
awiderva
codecs th
encoded
ase introduces an expanded From Multimedia File block to work with
at output YCbCr color data only. These codecs exist in MPEG-2
files, and several other video file types.
Enhance
The Vid
the new
eo Stabilization and Panorama Creation demos now take advantage of
Template Matching block.
d Im age Processing Blockset blocks now support changes in
ng simulation. The following blocks support variable size
elease:
s
xima
ction
romMultimediaFileBlocktoSupport
lVideoCodecs
riety of codecs. The block now has more capability to work with the
dDemos
ta Support
Enhan
capab
• Trac
• Trac
• Cell
• Obj
• Pat
• Col
ceddemosupdatedtotakeadvantageofthenewvariablesizesignal
ilities:
king Cars Using Background Estimation
king Cars Using Optical Flow
Counting
ect Counting
tern Matching
or Segmentation
9
Video and Image Processing Blockset™ Release Notes
10
Version 2.7 (R2009a) Video and Image Processing Block set™
Version 2.7 (R2009a) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
No Bug Reports
New features and changes introduced in this version are:
• “Enhanced Draw Shapes and Draw Markers blocks” on page 11
• “Enhanced To Video Display Block” on page 11
• “Enhanced Video Viewer Block” on page 12
• “Improved Memory use in 2–D FIR Filter, 2–D Convolution, and 2–D
Correlation Blocks” on page 12
• “Run-Time Library Removal” on page 12
• “New Rounding Modes” on page 12
arizes what’s new in Version 2.7 (R2009a):
Fixed Bugs an d
Known Problems
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
Enhanced Draw Shapes and Draw Markers blocks
The Draw Shapes and Draw Markers blocks have the added feature to accept
border and fill color values at the input port. A new anti-aliasing algorithm
produces smoother edges. The block algorithms are enhanced to impro ve
performance.
Enhanced To Video Display Block
TheToVideoDisplayblockismodifiedtoremain open after simulation stops.
By default, the block does not use hardware acceleration thus reducing
memory requirements, improving behavior on multi-headed displays and
11
Video and Image Processing Blockset™ Release Notes
external projectors. In addition, there is a n ew option to turn on hardware
acceleration for improved performance.
Enhanced Video Viewer B lock
The Video Viewer block has a new interface providing pixel region display
and visualization controls.
Improved Memory use in 2–D FIR Filter, 2–D
Convolution, and 2–D Correlation Blocks
The new algorithm used by 2-D FIR Filter, 2-D Convolution, and 2-D
Correlation blocks reduces memory requirements by eliminating the need for
theintermediatepadbuffer.
Run-Time Library Removal
The Real-Time Workshop®software pack-and-go utility enables code
portability. In previous releases, the Video and Image Processing Blockset
software pack-and-go .zip file included more files than necessary due to a
dependence on a run-time library that shipped with the product. In addition,
you could not examine the contents of Video and Image Processing Blockset
run-time functions from the Real-Time Workshop HTML report, because the
code w a s accessed through the prebuilt library. In R2009a, this dependence
on the run-time library for code generation is removed. The pack-and-go .zip
file is now smaller than in previous releases, and the Real-Tim e Workshop
HTML report provides links to the source code of the run-time functions.
12
New Rounding Modes
The following rounding modes have been added to blocks that support
fixed-point signals:
•
Convergent — Rounds the result of a calculation to the closest
representablenumber. Inthecaseofatie,
nearest even number. This is the least biased rounding method provided
by the blockset.
•
Round— Rounds the result of a calculation to the closest represe ntable
number. In the case of a tie, it rounds positive numbers to the closest
Convergent rounds to the
Version 2.7 (R2009a) Video and Image Processing Block set™
representable number in the direction of positive infinity, and it rounds
negative numbers to the closest representable number in the direction
of negative infinity.
•
Simplest— Rounds the result of a calculation using the rounding mode
that adds the least amount of extra rounding code to your generated code.
For more information, see “Rounding Mode: Simple st” in the Simulink
Fixed Point™ d ocumentation.
®
13
Video and Image Processing Blockset™ Release Notes
Version 2.6 (R2008b) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes
Summary
New features and changes introduced in this version are:
• “New Apply G eo metric Transformation block” on page 14
• “C code generation and the Accelerator modes are now supported for
fixed-point and integer word lengths up to 128 bits” on page 15
• “ROI support for Minimum and Maximum blocks” on page 15
• “New and Enhanced Demos” on page 15
• “New Data Type Support Table” on page 16
• “2D-FFT Block Correctly Applies Divid e-By-Two on Butterf ly Outputs”
on page 16
arizes what’s new in Version 2.6 (R2008b):
Fixed Bugs an d
Known Problems
Bug Reports
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
14
• “Refined Pad Input Handling of 2D-FIR Block” on page 17
New Apply Geometric Transformation block
The Apply Geom etric Transformation block can be used to transform an image
using a projective, affine or non-reflective similarity transformation matrix.
The block provides Polygon ROI support supplied manually or calculated
using segmentation and trace boundary techniques. This block used together
withtheEstimateGeometricTransformation block provides a flexible, robust
model to transform images.
Version 2.6 (R2008b) Video and Image Processing Block set™
Ccodegeneratio
now supported fo
lengths up to 128
C code generati
are now suppor
The few except
not generate c
arefortheAut
Transformat
ROI support
Full Region
Maximum blo
is a rectan
available
If you only
processi
ng, but are limited to the ROI type Rectangles.
New and E
The Vide
on and the Simulink Accelerator and Rapid Accelerator modes
ted for fixed-point and integer word lengths up to 128 bits.
ions where Real-Time Workshop
ode for fixed-point and integer word lengths beyond 32 bits
othreshold, H istogram Equalization, Hough Lines, Projective
ion, and Shear blocks.
for Minimum and Maximum blocks
of Interest (ROI) support is available for the Minimum and
cks. Use the ROI type parameter to specify whether the ROI
gle, line, label matrix, or binary m ask. Full ROI processing is
to users who have a Video and Image Processing Blockset™ license.
have a Signal Processing Blockset™ license, you can still use ROI
nhanced Demos
o and Image Processing Blockset contain new and enhanced demos.
n and the Accelerator modes are
r fixed-point and integer word
bits
®
Embedded Coder™ will
New Bar Code Recognition Demos
Two new
an imag
barco
barco
The l
Acqu
digi
demos using the Video and Image Processing Blockset to create
e processing system which can recognize and interpret a GTIN-13
de. The GTIN-13 barcode, formally known as EAN-13, is an international
de standard. It is a superset of the widely u sed UPC standard.
ive video demo uses the From Video Device block provided by Image
isition Toolbox™ to acquire live image data from a Unibrain Fire-i
tal camera into Simulink.
Enhanced Lane Departure Warning System Demo
s demo detects and tracks road lane markers in a video sequence and
Thi
ifies the driver if they are moving acrossalane.Thedemoillustrateshow
not
use the Hough Transform, Hough Lines and Kalman Filter blocks from
to
15
Video and Image Processing Blockset™ Release Notes
the Video and Image Processing Blockset blocks to create a line detection
and tracking algorithm.
Enhanced Disparity Estimation for Stereo Vision Demo
The enhanced version of the demo uses a virtual reality scene as the input.
ThedemoprovidestheuserwithanexampleofusingtheVirtualReality
Toolbox™.
New Data Type Support Table
The Video and Image Processing Blockse t Data Type Support Table is
now available through the Simulink model Help menu. The table provides
information about data type support and code generation coverage for all
Video and Image Processing Blockset blocks. Select Help > Block Su pport
Table> Video and Image Processing Blockset or Help > Block Support
Table > All Tables.Youcanalsotype
MATLAB command line to bring up the table.
showvipblockdatatypetable at the
16
2D-FFT Block Correctly Applies Divide-By-Two o n
Butterfly Outputs
The Skip divide-by-two on butterfly outputs for fixed-point signals check
box on the Fixed-point pane of the 2D-FFT block dialog has been moved
to the Main pane and renamed Divide butterfly outputs by two.This
check box now correctly appl ies to both fixed-point and floating-point inputs.
In releases prior to R2008b, the block always ignored this check box for
floating-point inputs.
Compatibility Considerations
The 2D-FFT block can give results in R2008b and later releases that are scaled
differently than in previous releas es when all the following conditions are m et:
1 The block input is floating point.
2 The Divide butterfly outputs by two check box is selected (or the Skip
divide-by-two on butterfly outputs for fixed-point signals check box on
the ‘Fixed-point’ pane was NOT selected, for releases prior to R2008b)
Version 2.6 (R2008b) Video and Image Processing Block set™
3 The Logging mode parameter on the Fixed-Point Tool for the model is
not set to
Make sure that this check box is set correctly for your needs. Refer to the
block reference page for more inform ation.
Minimums, maximums and overflows
Refined Pad Input Handling of 2D-FIR Block
When using Constant padding, the block now ensures that the pad value is
real when the input image is real.
Compatibility Considerations
You will get an error message if pad value is complex when the input is real.
To build a model t h a t pads a real input with a complex value, you can use the
Bias block to add a complex zero value.
17
Video and Image Processing Blockset™ Release Notes
Version 2.5 (R2008a) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes
Summary
New features and changes introduced in this version are:
• “New Estimate Geometric Transformation b lock with RANSAC and Least
Median of Squares Algorithms” on page 18
• “Increased N-Dimensional Support” on page 19
• “New and Enhanced Demos” on page 19
• “Tunability Status Modified for Several Block Parameters” on page 20
• “Enhanced From MultimediaFileBlock”onpage21
• “Enhanced Blob Analysis Block” on page 21
• “Blocks Obsoleted” on page 22
arizes what’s new in Version 2.5 (R2008a):
Fixed Bugs an d
Known Problems
Bug Reports
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
18
• “Hough Transform” on page 22
New Estimate Geometric Transformation block with
RANSAC and Least Median of Squares Algorithms
The Estimate Geometric Transformation block can be used to find the
transformation matrix which maps the greatest number of point pairs between
two images. The user can se le ct to use the RA Ndom SAmple Consensus
(RANSAC) or the Least M edian of Squares algorithms to calculate the
distance metric for finding the transformation matrix. For more information
see the Estimate G eometric Transformation block reference page.
Version 2.5 (R2008a) Video and Image Processing Block set™
Increased N -Dim
The following bl
• Variance
• Standard Devi
• Mean
• Histogram
• Median
ocks now have support for N-D signals:
ation
New and Enha
The Video an
d Image Processing Blockset contain new and enhanced demos.
ensional Support
nced Demos
New Chroma-Based Road Tracking Demo
This demo u
primaril
The Chrom
Conversi
detect a
see the C
ses chroma information to detect and track road edges set in
y residential se ttings where lane markings may not be present.
a-based Tracking demo illustrates how to use the Color Space
on block, the Hough Transform block, and the Kalman Filter block to
nd track information using hue and saturation. For more information
hroma-based Road Tracking Demo.
Video Mosaicking Enhanced
The enh
Geomet
the Pr
mosai
matri
trans
then
this
anced Video Mosaicking demo incorporates the new Estimate
ric Transformation block, along with the Corner Detection block,
ojective Transformation block, and the Compositing block to create a
c image from a video sequence. The demo accumulates transformation
ces between consecutive video frames. The subsystem calculate s the
formation matrix between the current and the first video frame, and
overlays the current video frame on to the output image. By repeating
process, the subsystem generates a mosaic image.
Disparity Estimation for Stereo Vision
enhanced Disparity Estimation for Stereo Vision demo uses the Corner
The
ection block to find image features. If you would like to feed your own data
Det
o the demo you may wish to explore the various corner detection methods
int
d other settings of the Corner Detection block.
an
19
Video and Image Processing Blockset™ Release Notes
Tunability Status Modified for Several Block
Parameters
The Video and Image Processing Blockset parameter tunability is modified
in several blocks. The blocks where the tunability has been modified are
listed in the table below.
Block
Contrast
Adjustment
Histogram
Equalization
Gamma
Correction
Autothreshold
Draw Shapes
Parameter
Percentage of pixels to
saturate [low high] (in
%)
Histogram
All Simulation
Minimum value of input Simulation
Maximum value of
input
Value(s) Simulation
Old
Tunability
Status
Simulation
only
Simulation
only
only
only
Simulation
only
only
New Tunability
Status
Off for Simulation
and Code
Generation
Off for Simulation
and Code
Generation
Off for Simulation
and Code
Generation
Off for Simulation
and Code
Generation
Off for Simulation
and Code
Generation
On for Simulation
and Code
Generation when
Use antialiasing
is turned off
20
Opacity factor (between
0and1)
Blob Analysis Specify maximum blob
area in pixels
Simulation
only
Simulation
only
On for Simulation
and Code
Generation
On for Simulation
and Code
Generation
Version 2.5 (R2008a) Video and Image Processing Block set™
Compatability Considerations
To change the non-tunable parameters while you are working with a model,
you must stop a running simulation, change the parameter, and then start
the simulation again.
Enhanced From Multimedia File Block
The Video and Image Processing From Multimedia File b lock now allows for
proper synchronization of video and audio. Also, the determination of the
Frames Per Second (FPS) in the From Multimedia File Block was improved
for increased accuracy. As a result of these changes, this block might provide
a different sample time to the model. For more information about the
calculation of the default sample time by the this block, please consult the
From Multimedia File block reference page.
Compatibility Considerations
Your existing models might error out if you are combining the output from
a From M ultimedia File block with the output from another source block
duetothechangeintheFromMultimediaFileblock. Sampletimemight
nowbedifferentfromthesampletimefromanothersourceblockinyour
model, causing the model to error. If this happens, you can either change the
sample time of the other source block to
thesampletimeyouwanttouseintheFromMultimediaFileblock’sDesired
sample time parameter.
(inherited), or explicitly specify
−1
Enhanced Blob Analysis Block
The Specify maximum blob area in pixels parameter in the Blob
Analysis Block is now tunable for both Simulation and Code Generation.
To accommodate this enhancement the Specify maximum blob area in
pixels parameter has been modified to no longer accept
allowable value is now calcula ted to be the maximum of
Compatibility Considerations
Entering inf for the S pecify maximum blob area in pixels parameter
will cause an error.
inf.Themaximum
uint32 data type.
21
Video and Image Processing Blockset™ Release Notes
Blocks Obsolete
The following 2available.
• 2-D Variance
• 2-D Standard D
• 2-D Mean
• 2-D Histogra
• 2-D Median
D blocks have been obsoleted. Equivalent N-D blocks are
m
Hough Trans
An internal
Specifica
Resolutio
calculation for the Hough Transform block has been corrected.
lly, the rho output calculation was corrected to match the Rho
n given in the input.
d
eviation
form
Compatibility Considerations
The Hough
differe
matrix, and the Rho outputs returned by the block will have
nt results than those obtained from the same block in previous releases.
22
Version 2.4 (R2007b) Video and Image Processing Block set™
Version 2.4 (R2007b) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes
Summary
New features and changes introduced in this version are:
• “Corner Detection Block Finds Corners in Images” on page 23
• “Demo Blocks Upgraded” on page 24
• “Demos Added and Updated” on page 24
• “Demo Recategorization” on page 25
• “Lucas-Kanade Method of Optical Flow Block Enhanced” on page 27
• “Performance Improvements” on page 28
• “Removed DirectX Component Registration Limitations of From
Multimedia File, To Multimedia File, and To Video Display Blocks” on
page 29
arizes what’s new in Version 2.4 (R2007b):
Fixed Bugs an d
Known Problems
Bug Reports
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
• “Rounding Modes Added” on page 29
• “Write AVI File Block Obsoleted” on page 29
Corner Detection Block F inds Corners in Images
The Corner Detection block calculates the corner metric matrix and finds
corners in images. For more information, see the Corner Detection block
reference page.
23
Video and Image Processing Blockset™ Release Notes
Demo Blocks Upgr
If you used the fo
models with the l
been improved,
Old Block
Name
Bit pack Bit Pack Video compre
Bit unpack Bit Unpack Video compression vipcodec_intensity>Decoder>Block
New Block
Name
llowing demo blocks in your models, you need to update your
atest versions of these blocks. Because these blocks have
you need to update their parameters to suit your applications.
Demo Name
aded
ssion
New Path to Block
vipcodec_in
Processing1
process>Tra
Processing>Block iterator>sub-block
process>Transform decoding>Bit
Unpack
tensity>Encoder>Block
>Block iterator>sub-block
nsform coding>Bit Pack
Compatibility Considerations
Update your models with the latest versions of these blocks.
Demos Added and Updated
The Video and Image Processing Blockset contains three new or updated
demos for R2007b.
24
Video Mosaicking Demo Added
The new Video Mosaicking demo shows how to stitch video frames together to
form a mosaic image that provides a comprehensive view of a scene.
Pattern Matching Demo Allows User-Selected Tracking Target
The Target block in the Pattern Matching demo uses the Image Processing
Toolbox imrect function to let you manually select the size and position of the
region of interest you want to detect.
Version 2.4 (R2007b) Video and Image Processing Block set™
Traffic Warning Sign Recognition Demo Improvements
The Traffic Warning Sign Recognition demo now uses a more robust template
matching technique to identify the signs. In addition, the demo now uses
labels to show the detected signs.
Demo Recategorization
The Video and Image Processing Blockset demos have been recategorized
into the follow ing libraries.
Demo Title New Library Location Old Library Location
Abandoned Object
Detection
Lane Departure
Warning S ystem
Surveillance Recording
Traffic W
Recognit
Cell Cou
Concen
Inspec
Feature Extraction
Obje
Video Focus
Assessment
Image Compression Compression Compression
Video Compression Compression Compression
arning Sign
ion
nting
tricity
tion
ct Counting
Industry Examples Detection and Tracking
Industry Examples Detection and Tracking
Industry Examples Detection and Tracking
Industry Examples Detection and Tracking
Analysi
Analys
Analy
ysis
Anal
lysis
Ana
sis
s
is
Video Se
Using Mo
Video A
Video
Using
Vide
Usin
Vid
gmentation
rphology
nalysis
Segmentation
Morphology
oSegmentation
g M orphology
eo Analysis
Motion Detection Detection and
Recognition
Detection a nd Tracking
25
Video and Image Processing Blockset™ Release Notes
Demo Title New Library Location Old Library Location
Pattern Matching Detection and
Detection a nd Tracking
Recognition
Scene Change
Detection
Surveillance Recording
Detection and
Recognition
Detection and
Video Analysis
Detection a nd Tracking
Recognition
Traffic Warning Sign
Recognition
Abandoned Object
Detection and
Recognition
Tracking Detection and Tracking
Detection a nd Tracking
Detection
Lane Departure
Tracking Detection and Tracking
Warning S ystem
People Tracking Tracking Detection and Tracking
Tracking Cars Using
Tracking Detection and Tracking
Background Estimation
Tracking Cars Using
Tracking Detection and Tracking
Optical Flow
Disparity Estimation
Registration
Video Analysis
for Stereo Vision
Panorama Creation
Registration Miscellaneous
26
Video Mosaicking Registration
Video Stabilization
Registration Video Enhancement
Color Segmentation Segmentation
Edge Detection
Histogram
Segmentation Video Analysis
Enhancement Video Enhancement
Equalization
Periodic Noise
Enhancement Video Enhancement
Reduction
Rotation Correction
Bouncing Balls
Enhancement Video Enhancement
Display and Graphics
n/a
Detection a nd Tracking
Miscellaneous
Version 2.4 (R2007b) Video and Image Processing Block set™
Demo Title New Library Location Old Library Location
Histogram Display
MPlay Simulink
Tutorial
Object Extraction and
Replacement
Picture in Picture
Projecting Videos onto
aRotatingCube
Visual Effects Display an d Graphics
Edge Detection with
Live Video Acquisition
Histogram Display with
Live Video Acquisition
Display and Graphics Video Analysis
Display and Graphics
Display and Graphics Video Segmentation
Display and Graphics
Display and Graphics Geometric
Live Video Processing
Live Video Processing
Video Playback
Using Morphology
Miscellaneous
Transformation
Miscellaneous
Video Analysis
Video Analysis
Lucas-Kanade Method of Optical Flow Block
Enhanced
The Optical Flow block now has two options for solving the optical flow
constraint equation when you set the Method parameter to
•
Difference filter [-1 1 ] — This was the only option available in
previous releases, and is the default option.
Lucas-Kanade:
•
Derivative of Gaussian — This o ption is new in this release.
Use the new Temporal gradient filter paramete r to select the filter option.
The Optical Flow block supports fixed-point data types when the Method
parameter is set to
parameter is set to
For more information about these enhancements, see the Optical Flow block
reference page.
Lucas-Kanade and the Temporal gradient filter
Difference filter [-1 1].
27
Video and Image Processing Blockset™ Release Notes
Performance Improvements
The Video and Image Processing Blockset contains three performance
enhancements for R2007b.
Label Block Has More Efficient Labeling Algorithm
The old block implementation was based on a flood-fill algorithm, while the
new algorithm is union-find based. As a result, the new labeling algorithm
uses less memory and is a more cache efficient.
Compatibility Considerations. The new labeling algorithm might label the
objects in the image with different label numbers.
Morphological Blocks Experience Speed Increase
The speed of simulation and the speed at which your generated code runs will
increase, if you meet all of the following conditions:
• You are using any of the blocks in the Morphological Operations library
except the Label block.
28
• You are working with intensity images.
• The structuring element you are using has four or more contiguous
elements that form a horizontal line, a vertical line, or a shape that the
block can decompose into a set of horizontal lines, vertical lines, or both.
For more information about structuring elements, see the
reference page in the Image Processing Toolbox documentation.
strel function
Row-Major Data Format Supported by Chroma Resampling,
Deinterlacing, and Insert Text blocks
The Chroma Resampling, Deinterlacing, and Insert Text blocks give you the
option to process d ata that is stored in row-major format when you select the
Input image is transposed (data order is row major) check box. For
more information, see the Chroma Resampling, Deinterlacing, and Insert
Text block reference pages.
Version 2.4 (R2007b) Video and Image Processing Block set™
Removed DirectX
of From Multimed
Video Display Bl
Previously, yo
File, or To Vid
administrato
these blocks o
uwereunabletousetheFromMultimediaFile,ToMultimedia
eo Display blocks without first having someone with system
rprivilegesregistertheDirectX components associated with
n your Windows machine. This limitation has been removed.
Rounding Mod
The Roundin
Processing
For more inf
Signal Proc
Write AVI F
The To Mul
Conseque
duplicat
gmodeparameter on the Fixed-point pane of Video and Image
Blockset blocks now has two additional options,
ormation about this parameter, see “Rounding Modes” in the
essing Blockset User’s Guide.
ile Block Obsoleted
timedia File block now supports AVI files on UNIX platforms.
ntly, the Write AVI File Block h as been obsoleted to remove
e functionality.
Component Registration Limitations
ia File, To Multimedia File, and To
ocks
es Added
Compatibility Considerations
Replace
File bl
any instances of the Write AVI FileblockwiththeToMultimedia
ock.
Zero and Ceiling.
29
Video and Image Processing Blockset™ Release Notes
Version 2.3 (R2007a) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes
Summary
New features and changes introduced in this version are:
• “Block Parameters Support Additional Data Types” on page 31
• “Color Data Management Simplified Using 3-D Array Representation”
on page 31
• “Color Data Support Added to 11 Blocks” on page 31
• “Contrast Adjustment Block Improved” on page 32
• “Demo Blocks Upgraded” on page 32
• “Disparity Estimation for Stereo Vision Demo Computes the Disparity Map
Between Stereo Imag es” on page 33
arizes what’s new in Version 2.3 (R2007a):
Fixed Bugs an d
Known Problems
Bug Reports
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
30
• “Improved Tracking Algorithms in People Tracking and Lane Departure
Warning System Demos” on page 33
• “Insert Text Block Now S upports Placing Multiple Text Strings on Images”
on page 34
• “Removed Lane Detection and Tracking and Continuous Image Rotation
Demos” on page 34
• “Video and Image Processing Blocks Are Now Forward Compatible” on
page 35
Version 2.3 (R2007a) Video and Image Processing Block set™
Block Parameter
Previously, the
parameters supp
now support add
types, see “Spe
the Simulink d
Video and Image Processing Blockset block dialog box
orted only double-precision, floating-point data types. They
itional data types. For more information about Simulink data
cifying Parameter Values” and “Working with Data Types” in
ocumentation.
Color Data Ma
Representat
Video and Ima
and video si
usability o
in the Video
f the blockset. For more information, see “Color Image Processing”
ion
ge Processing Blockset enables you to work with color images
gnals as multidimensional arrays. This change improves the
and Image Processing Blockset User’s Guide.
s Support Additional Data Types
nagement Simplified Using 3-D Array
Compatibility Considerations
If you ope
multidim
you are pr
model, y
Color Da
Color d
n an old model that links to a block that now supports
ensional arrays, an asterisk appears next to the model name, and
ompted to save the model before you close it. After you s av e the
ou won’t experience this behavior again.
ta Support Added to 11 Blocks
ata support has been added to the following blocks:
• Compos
• Deint
• Frame
• Gamm
• Gaus
• Imag
• Ima
• Res
• Ro
erlacing
sian Pyramid
eDataTypeConversion
ge Pad
ize
tate
iting
Rate Display
a Correction
31
Video and Image Processing Blockset™ Release Notes
• Shear
• Translate
Contrast Adjustment Block Improved
This release removes an unnecessary parameter from this block.
Compatibility Considerations
If you open a old model that contains a Contrast Adjustment block, you might
see the following warnings:
Warning: In instantiating linked block
'mcontrastadjust/Contrast Adjustment1':
Contrast Adjustment block (mask) does not
have a parameter named 'ac cum Mode'.
Warning: In instantiating linked block
'mcontrastadjust/Contrast Adjustment1':
Contrast Adjustment block (mask) does not
have a parameter named 'ac cum WordLength'.
32
Warning: In instantiating linked block
'mcontrastadjust/Contrast Adjustment1':
Contrast Adjustment block (mask) does not
have a parameter named 'ac cum FracLength'.
You can ignore these warning messages. After you save the model, you won’t
experience this behavior again.
Demo Blocks Upgraded
If you used t he following demo blocks in your models, you need to update your
models with the latest versions of these blocks. Because these block have been
improved, you need to update their parameters to suit your applications.
Version 2.3 (R2007a) Video and Image Processing Block set™
Old Block
Name
Merge Box
Background
Estimator
–Temporal
Median
Estimator
New Block
Name
Merge blobs
belonging to the
same target
Background
Estimator
Demo Name
Color Segmentation
People Tracking
Traffic Warning Sign
Recognition
Tracking Cars Using
Background Estimation
New Path to Block
vipcolorsegmentation>Color
Segmentation>Region
Filtering>Extract Face and
Hand
viptrackpeople>Detection
vipwarningsigns>Warning
Sign Recognition>Region
filtering (red)
viptraffic
Compatibility Considerations
Update your models with the latest versions of these blocks.
Disparity Estimation for Stereo Vision Demo
Computes the Disparity Map Between Stereo Images
You can find this demo in the Video Analysis section of the Video and
Image Processing Blockset demos. You can open the demo model by typing
vipstereo at the MATLAB comman d prompt or click vipstereo.
Improved Tracking Algorithms in People Tracking
and Lane Departure Warning System Demos
Improvements to the tracking algorithmsinthesedemosmakethemmore
robust. As part of the improvements, the demos now contain the new Kalman
Filter block in Signal Processing Blockset. For more information, see the
Kalman Filter block reference page. You can open these demo models by
typing
Alternatively, click
viptrackpeople or vipldws at the MATLAB command prompt.
viptrackpeople or vipldws.
33
Video and Image Processing Blockset™ Release Notes
Insert Text Bloc
Strings on Image
You can use the In
For more inform
in the Video an
changed in two
• The Select por
one-based in
• If the input i
port must be
These chang
blocks in V
the Insert
d Image Processing Blockset User’s Guide. This block has been
puts.
mage is a floating-point data type, the input to the Opacity
es make the Insert Text block more consistent with the other
ideo and Image Processing Blockset. For more information, see
Text block refe rence page.
k Now Supports Placing Multiple Text
s
sert Text block to place multiple text strings on im ages.
ation, see “Annotating AVI Files at Two Separate Locations”
other ways:
t expects zero-based inputs. Previously, this port expected
the same floating-point data type.
Compatibility Considerations
To preven
the signa
input im
port is t
t incorrect results in your existing models, you need to verify that
l connected to the Select port contains zero-based inputs. Also, if the
age is a floating point-data type, ver ify that the input to the Opacity
he same floating-point data type.
34
Remove
Contin
The Lan
trated by the Lane Detection and Tracking demo.
illus
The Co
olor processing. You no longer need to use this technique because we
for c
oduced color data processing using 3-D array representation.
intr
d Lane Detection and Tracking a nd
uous Image Rotation Demos
e Departure Warning System demo now incorporates the functionality
ntinuous Image Rotation demo illustrated the use of Simulink busses
Compatibility Considerations
ou want to continue to work with these demos, you need to save them to a
If y
arate folder on your system before installing Video and Image Processing
sep
ckset Version 2.3 (R2007a).
Blo
Version 2.3 (R2007a) Video and Image Processing Block set™
Video and Image P
Forward Compati
When you save R20
Processing blo
cks d o not produce any errors or warnings.
ble
07a models in R2006b format, the Video and Image
rocessing Blocks Are Now
35
Video and Image Processing Blockset™ Release Notes
Version 2.2 (R2006b) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes
Summary
New features and changes introduced in this version are:
arizes what’s new in Version 2.2 (R2006b):
Fixed Bugs an d
Known Problems
Bug Reports
Includes fixes
Related
Documentation at
Web Site
Printable Re
Notes: PDF
Current pro
documenta
lease
duct
tion
Contrast Adjustment Block Linearly Scales Pixel
Values
The Contrast Adjustment block adjusts the contrast of an image by
linearly scaling the pixel values between upper and lower limits. For more
information, see the Contrast Adjustment block reference page.
Demosaic Block Converts Bayer’s Format Images to
RGB
The Demosaic block takes in images in Bayer’s format and outputs RGB
images. For more information, see the Demosaic block reference page.
36
Trace Boundaries Block Returns Object Boundar y
Pixel Coordinates in Binary Im ages
The Trace Boundaries block traces object boundaries in binary images. For
more information, see the Trace Boundaries block reference page.
Version 2.2 (R2006b) Video and Image Processing Block set™
Blob Analysis Bl
ock Outputs Orientation Angles in
Radians
The Blob Analysi
Orientation po
This change ma
Image Process
block referen
Compatibility Considerations
If you perfor
take into ac
Draw Marke
You can now
Use antial
block ref
erence page.
From Mult
AVI File
This blo
result,
you are
ck now supports uncompressed AVI files on UNIX platforms. As a
you no longer need to use separate blocks to import multimedia files if
workingonbothWindowsandUNIXplatforms.
s block now outputs a vector of angles in radians at the
rt. Previously, the block output a vector of angles in degrees.
kes the block consistent with other blocks in Video and
ing Blockset. For more information, see the Blob Analysis
ce page.
med any calculations with the Orientation port output, you must
count that the angle values are now in radians.
rs Block Supports Antialiasing
draw m arkers using an antialiasing algorithm if you select the
iasing check box. For more information, see the Draw Markers
imedia File Block Supports Uncompressed
sonUNIX
Read A
The Fr
Conse
func
VI File Block Obsoleted
om Multimedia File block now supports A VI files on UNIX platforms.
quently, the Read AV I File Block has been obsoleted t o remove duplicate
tionality.
Compatibility Considerations
aceanyinstancesoftheReadAVIFileblockwiththeFromMultimedia
Repl
eblock.
Fil
37
Video and Image Processing Blockset™ Release Notes
Resize Block Enh
The Resize block
• You can now resi
ROI processing
• The block’s al
is an integer v
• The block now
edge artifac
of the
imresi
For more inf
has been improved in three ways:
gorithm is optimized when the Resize factor in % parameter
alue.
uses a different axis for resampling. This change reduces
ts and makes the block output more consistent with the output
ze
ormation, see the Resize blo ck reference page.
anced
ze a particular region o f an image if you select the Enable
check box.
function in Image Processing Toolbox.
Compatibility Considerations
Duetothed
different
Shear and
ifferent axis that is used for resampling, you might observe
block output as compared to previous releases.
Translate Blocks Support Background Fill
Values
You can n
ow specify the intensity of the background pixels.
38
Abando
Tracki
You ca
model
Conc
Cros
You c
yping
by t
ned Object Detection Demo Illustrates a
ng Algorithm
n find this demo in the Detection and Tracking library. Open the demo
by typing
vipabandonedobj at the MATLAB command prompt.
entricity Inspection Demo Examines a
s-Section of Optical Fiber
an find this demo in the Video Analysis library. Open the demo model
vipconcentricity at the MATLAB command prompt.
Version 2.2 (R2006b) Video and Image Processing Block set™
Lane Departure W
This demo is now a
the Detection an
at the MATLAB co
Pattern Match
Functionalit
Now, in addit
number of tar
cross-corre
lation.
People Trac
This demo i
in the Dete
viptrackp
s now available in a fixed-point version. Y ou can find this demo
ction and Tracking library. Open the demo model by typing
eople
Demos Mig
For some
site. Wh
you want
aWebpag
click N
demos, you must download source files from The MathWorks Web
en you attempt to run these demos, a dialog box opens and asks you if
to download files from the MathWorks Web site. If you click Yes,
e that explains how to download the necessary files opens. If you
o, the dialog box closes, and you are unable to run the demo.
vailable in a fixed-point version. You can find this demo in
d Tracking library. Open the demo model by typing
mmand prompt.
ing Demo Provides Additional
y
ion to changing the pyramiding factor, you can change the
gets to track and specify the domain in which to perform the
king Demo Supports Fixed Point
at the MATLAB command prompt.
ht Require Downloading Source Files
arning Demo Supports Fixed Point
vipldws
Compatibility Considerations
The Sc
Aband
MathW
the r
ene Change Detection, Traffic Warning Sign Recognition, and
oned Object Detection demo source files have been moved to the
orks Web site. Before you can run these demos, you need to download
equired video files.
39
Video and Image Processing Blockset™ Release Notes
Version 2.1 (R2006a) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes—Details
as Compatibi
Considerat
below. See a
Summary.
New features and changes introduced in this version are
arizes what’s new in Version 2.1 (R2006a):
labeled
lity
ions,
lso
Fixed Bugs an d
Known Problems
Bug Reports
at Web site
Related
Documentation at
Web Site
No
Autothreshold Block Enhanced
The Autothreshold block lets you scale the threshold value computed by
Otsu’s method using the new Scale thresh old and Threshold scaling
factor parameters.
Draw Shapes Block Enhanced
For lines, polylines, polygons, and circles, the Draw Shapes block can now
draw antialiased shapes.
40
isfilterseparable Function Added
Use the isfilterseparable function to determine whether filter coefficients
are separable.
Lane Departure Warning System Demo Added
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
vipldws at the MATLAB command prompt.
Version 2.1 (R2006a) Video and Image Processing Block set™
MPlay GUI Access
Before, you coul
mplay at the MATL
So, you can only
d open the MPlay GUI using the MPlay block or by typing
AB command prompt. The MPlay block has been removed.
open the GUI using the command prompt.
Changed
Compatibility Considerations
Delete the MPl
ay blocks in your old models.
41
Video and Image Processing Blockset™ Release Notes
Version 2.0 (R14SP3+) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
No Bug Reports
New features and changes introduced in this version are
arizes what’s new in Version 2.0 (R14SP3+):
Fixed Bugs an d
Known Problems
at Web site
Related
Documentation at
Web Site
No
Blocks Added
Block Matching
Use the Block Matching block to estimate motion between images or video
frames.
Deinterlacing
Use the Deinterlacing block to remove motion artifacts by deinterlacing the
input video signal.
Gaussian Pyramid
Use the Gaussian Pyramid block to perform G aussian pyramid decomposition.
42
Optical Flow
Use the Optical Flow block to estimate object velocities.
Projective Transformation
Use the Projective Transformation block to transform a quadrilateral into
another quadrilateral.
Version 2.0 (R14SP3+) Video and Image P rocessing Blockset™
PSNR
UsethePSNRblocktocomputethepeak signal-to-noise ratio (PSNR)
between two images.
Block Enhancements
2-D Mean, 2-D Standard Deviation, and 2-D Variance
The 2-D Mean, 2-D Standard Deviation, and 2-D Variance blocks let you
compute the statistic value over a particular region of interest (ROI).
Blob Analysis
The Blob Analysis block lets you calculate the perimeter of blobs.
Color Space Conversion
The Color Space Conversion block lets youspecifythestandardtousefor
conversions between R’G’B’ and Y’C bCr color spaces. Your choices are
601 (SDTV)
or Rec. 709 (HDTV).
Rec.
Compositing, Image Data Type Conversion, Median Filter, and
SAD
The Compositing, Image Data Type Conversion, Median Filter, and SAD
blocks accept Boolean data types on their input ports.
MPlay
The mplay GUI has been enhanced, so it is easier to use and has greater
capabilities.
Demos Added
Projecting Videos onto a Rotating Cube
You can find this demo in the Geometric Transformation library. Open the
demo model by typing
viprm at the MATLAB command prompt.
43
Video and Image Processing Blockset™ Release Notes
Tracking Cars Using Optical Flow
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
viptrafficof at the MATLAB command prompt.
Traffic Warning Sign Recognition
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
vipwarningsigns at the MATLAB command prompt.
Demo Enhancements
Periodic Noise Reduction
You can find this demo in the Video Enhancement library. Open the demo
model by typing
now includes a frequency domain filtering technique.
vipstripes at the MATLAB command prompt. This demo
44
Version 1.2 (R14SP3) Video and Image Processing Blockset™
Version 1.2 (R14SP3) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes—Details
as Compatibi
Considerat
below. See a
Summary.
New features and changes introduced in this version are
arizes what’s new in Version 1.2 (R14SP3):
labeled
lity
ions,
lso
Fixed Bugs an d
Known Problems
Bug Reports
at Web site
Related
Documentation at
Web Site
No
Block Enhancements
2–D FIR F
The 2-D FIR Filter b lock now supports separable filters.
Blob An
The Blob Analysis block lets you specify the size of the blobs you want to find
and to exclude the blobs touching the image border.
ilter
alysis
Color
TheColorSpaceConversionblocksupports conversions between the R’G’B’
and HSV, sR’G’B’ and XYZ, and sR’G’B’ and La*b* color spaces.
Dra
The Draw Shapes block lets you draw filled polygons on your video.
Space Conversion
w Shapes
45
Video and Image Processing Blockset™ Release Notes
Edge Detection
The Edge D etection block supports the Canny edge detection method for
floating-point arithmetic.
Location Port of the Insert Text and Compositing Blocks No
Longer Supports as Many Data Types
The Location port of the Insert Text and Compositing blocks used to support
double-precision floating-point, single-precision floating-point, and Bo olean
data types as well as 8-, 16-, and 32-bit signed and unsigned integers. Now
this port supports only double-precision floating-point and single-precision
floating-point data types when the block input is a floating-point data type.
Compatibility Consid erations. You might need to change the data type of
the signal input to the Location port.
MPlay
The mplay GUI can stop and start a Simulink sim u la t ion. Also, its interface
has been enhanced, so it is easier to use and has greater capabilities.
46
Read AVI File, Read Binary File, and From Multimedia F ile
The Read AVI File, Read Binary File, and From Multimedia File blocks can
return an end-of-file indicator, which lets you determine when the end of your
videofilehasbeenreached.
Read Binary File and Write Binary File
TheReadBinaryFileandWriteBinaryFileblocksletyouspecifythebyte
ordering in custom files. You can choose between big endian and little endian
data organization.
Fixed-Point Support
The Autothreshold block now supports fixed-point data types.
Demos Added
Cell Counting
You can find thi
Open the demo m
prompt.
Color Segmentation
You can find t
model by typi
MPlay Simulink Tutorial
You can fin
by typing
People Tracking
You can fi
model by t
s demo in the Video Segmentation Using Morphology library.
odel by typing
his demo in the Detection and Tracking library. Open the demo
ng
vipcolorsegmentation at the MATLAB command prompt.
d this demo in the Video Playback library. Open the demo model
ipmplaytut
v
nd this demo in the Detection and Tracking library. Open the demo
yping
viptrackpeople at the MATLAB command prompt.
at the MATLAB command prompt.
Version 1.2 (R14SP3) Video and Image Processing Blockset™
vipcellcounting at the MATLAB command
Visual Effects
You can
typing
find this demo in the Miscellaneous library. Open the demo model by
vipeffects at the MATLAB command prompt.
47
Video and Image Processing Blockset™ Release Notes
Version 1.1 (R14SP2) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
Yes—Details
as Compatibi
Considerat
below. See a
Summary.
New features and changes introduced in this version are
arizes what’s new in Version 1.1 (R14SP2):
labeled
lity
ions,
lso
Fixed Bugs an d
Known Problems
Bug Reports
at Web site
Related
Documentation at
Web Site
No
Blocks Added
Blob Ana
Use the Blob Analysis block to compute statistical values for labeled regions.
Draw Ma
Use the Draw Markers block to mark locations by drawing circles, x-marks,
plus signs, stars, or squares.
lysis
rkers
48
Draw S
Use the Draw Shapes block to draw rectangles, lines, polygons, or circles on
images.
Fin
Use the Find Local Maxima block to find local maxima in matrices.
hapes
dLocalMaxima
Version 1.1 (R14SP2) Video and Image Processing Blockset™
Hough Lines
Use the Hough Lines block to find Cartesian coordinates of lines that are
describedbyrhoandthetapairs.
Image Data Type Conversion
Use the Image Data Type Conversion block to convert and scale input image
to specified output data type.
MPlay
Use the mplay GUI to block to convert and scale input image to specified
output data type.
Read Binary File
Use the Read Binary File block to read binary video data from files.
Variable Selector
Use the Variable Selector block to select a subset of rows or columns from
input.
Write B inary File
Use the Write Binary File block to write binary video data to files.
Demos Added
Bouncing balls
You can find this demo in the Miscellaneous library. Open the demo model by
typing
Lane detection and tracking
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
vipbouncingballs at the MATLAB command prompt.
vipdetectlane at the MATLAB command prompt.
49
Video and Image Processing Blockset™ Release Notes
Tracking cars in video
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
viptraffic at the MATLAB command prompt.
Block Obsoleted
Draw Shape
The Draw Shape block is obsolete. It may be removed in a future version
of Video and Image Processing Blockset. Use the replacement block Draw
Shapes.
Compatibility Considerations. Replace the Draw Shape blocks in your
models with Draw Shapes blocks.
50
Version 1.0.1 (R14SP1) Video and Image Processing Blockset™
Version 1.0.1 (R14SP1) Video and Image Processing
Blockset
New Features and
Changes
Yes
Details below
This table summ
Version
Compatibility
Considerations
No
New features and changes introduced in this version are
arizes what’s new in Version 1.0.1 (R14SP1):
Fixed Bugs an d
Known Problems
Fixed bugs
Related
Documentation at
Web Site
No
Picture in Picture Demo Added
You can find this demo in the Miscellaneous library. Open the demo model by
typing
vippip at the MATLAB command prompt.
Panorama Creation Demo Added
You can find this demo in the Miscellaneous library. Open the demo model by
typing
vippanorama at the MATLAB command prom pt.
Video stabilization (fixed-point version) Demo Added
You can find this demo in the Video Enhancement library. Open the
demo model by typing
vipstabilize_fixpt_all (Platform independent) the MATLAB command
prompt.
vipstabilize_fixpt_win (Windows only) or
51
Video and Image Processing Blockset™ Release Notes
Version 1.0 (R14) Video and Image P rocessing Blockset
This table summarizes what’s new in Version 1.0 (R14):
New Features and
Changes
Yes
Details belo
w
Version
Compatibility
Consideratio
No
New features and changes introduced in this version are
ns
Fixed Bugs an d
Known Problems
No bug fixes
Related
Documentation at
Web Site
No
Introduction to Video and Image Processing Blockset
Video and Image Processing Blockset is a tool used for the rapid design,
prototyping, graphical simulation, and efficient code generation of video
processing algorithms. The Video and Image Processing Blockset blocks
can import streaming video into the Simulink environment and perform
two-dimensional filtering, geometric and frequency transforms, block
processing, motion estimation, edge detection and other s ignal processing
algorithms. You can also use the blockset in conjunction with Real-Time
Workshop to automatically generate embeddable C code for real-time
execution.
You can access the main Video and Image Processing Blockset library from
the MATLAB command line by typing
libraries that contain 52 blocks.
viplib. T his main library has 11
52
Demos Introduced
on detection
Moti
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
vipmotion at the MATLAB command prompt.
Version 1.0 (R14) Video and Image Processing Blockset™
Surveillance recording
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
vipsurveillance at the MATLAB command prompt.
Pattern matching
You can find this demo in the Detection and Tracking library. Open the demo
model by typing
vippattern at the MATLAB command prompt.
Video compression
You can find this demo in the Compression library. Open the demo model by
typing
vipcodec at the MATLAB command pro m pt.
Image compression
You can find this demo in the Compression library. Open the demo model by
typing
vipimagecompression at the MATLAB command prompt.
Histogram display
You can find this demo in the Video Analysis library. Open the demo model
by typing
viphistogram at the MATLAB command prompt.
Edge detection
You can find this demo in the Video Analysis library. Open the demo model
by typing
vipedge at the MATLAB command prompt.
Scene change detection
You can find this demo in the Video Analysis library. Open the demo model
by typing
vipscenechange at the MATLAB command prompt.
Video focus assessment
You can find this demo in the Video Analysis library. Open the demo model
by typing
vipfocus at the MATLAB command prompt.
53
Video and Image Processing Blockset™ Release Notes
Video stabilization
You can find this demo in the Video Enhancement library. Open the demo
model by typing
vipstabilize at the MATLAB command prompt.
Periodic noise reduction
You can find this demo in the Video Enhancement library. Open the demo
model by typing
vipstripes at the MATLAB command prompt.
Histogram equalization
You can find this demo in the Video Enhancement library. Open the demo
model by typing
viphisteq at the MATLAB command prompt.
Rotation correction
You can find this demo in the Video Enhancement library. Open the demo
model by typing
viphough at the MATLAB command prompt.
54
Feature extraction
You can find this demo in the Video Segmentation Using Morphology library.
Open the demo model by typing
vipspokes at the MATLAB command prompt.
Object counting
You can find this demo in the Video Segmentation Using Morphology library.
Open the demo m ode l by typing
prompt.
vipstaples at the MATLAB command
Object extraction and replacement
You can find this demo in the Video Segmentation Using Morphology library.
Open the demo model by typing
vipobj at the MATLAB command prompt.
Continuous image rotation
You can find this demo in the Geometric Transformation library. Open the
demo model by typing
viprotate at the M ATLAB command prompt.
Version 1.0 (R14) Video and Image Processing Blockset™
Data Type Suppor
All Video and Ima
single-precisi
generation. Th
single-precis
• 2-D Standard D
• Autothreshol
Many blocks a
than double
Simulink Fi
-precision and single-precision floating point, you must install
xed Point.
Full Suppo
Generatio
All Video a
(ERT) ANS
Coder).
nd Image Processing Blockset blocks support embedded real-time
I C code generation (requires the Real-Time Workshop Embedded
ge Processing blocks support double-precision and
on floating-point data types during simulation and code
efollowingtwoblocksonly support double-precision and
ion floating-point data types o n their input and output ports:
eviation
d
lso support fixed-point data types. To use any data type other
rt of Embedded Real-Time (ERT) C Code
n
t
55
Video and Image Processing Blockset™ Release Notes
Compatibility Summary for V ideo and Image Processing
Blockset
This table summarizes new features and changes that might cause
incompatibilities when you upgrade from an earlier version, or wh en you
use files on multiple versions. Details are provided in the description of the
new feature or change.
Version (Release) New Features and Changes with
Version Compatib ility Impact
Latest Version
V3.0 (R2010a)
V2.8 (R2009b)
V2.7 (R2009a)
V2.6 (R2008b) See the Compatibility
V2.5 (R2008a) See the Compatibility
None
None
None
Considerations subheading
for each of these new features and
changes:
• “2D-FFT Block Correctly Applies
Divide-By-Two on Butterfly
Outputs” on page 16
• “Refined Pad Input Handling of
2D-FIR Block” on page 17
Considerations subheading
for each of these new features and
changes:
• “Tunability Status Modified for
Several Block Parameters” on
page 20
56
• “Enhanced From Multimedia File
Block” on page 21
• “Hough Transform” on page 22
Compatibility Summary for Video and Image Processing Blockset™
Version (Release) New Features and Changes with
Version Compatib ility Impact
V2.4 (R2007b) See the Compatibility
Considerations subheading
for each of these new features and
changes:
• “Demo Blocks Upgraded” on page
24
• “Label Block Has More Efficient
Labeling Algorithm” on page 28
• “Write AVI File Block Obsoleted”
on page 29
V2.3 (R2007a) See the Compatibility
Considerations subheading
for each of these new features and
changes:
• “Color Data Management
Simplified Using 3-D Array
Representation” on page 31
• “Contrast Adjustment Block
Improved” on page 32
• “Demo Blocks Upgraded” on page
32
• “InsertTextBlockNowSupports
Placing Multiple Text Strings on
Images” on pag e 34
• “Removed Lane Detection and
Tracking and Continuous Image
Rotation Demos” on page 34
57
Video and Image Processing Blockset™ Release Notes
Version (Release) New Features and Changes with
V2.2 (R2006b) See the Compatibility
Version Compatib ility Impact
Considerations subheading
for each of these new features and
changes:
• “Blob Analysis Block Outputs
Orientation Angles in Radians” on
page 37
• “Read AVI File Block Obsoleted”
on page 37
• “Resize Block Enhanced” on page
38
• “Demos Might Require
Downloading Source Files”
on page 39
58
V2.1 (R2006a) See the Compatibility
Considerations subheading
for this new feature or change:
• “MPlay GUI A ccess Changed” on
page 41
V2.0 (R14SP3+)
None
V1.2 (R14SP3) See the Compatib i l ity
Considerations subheading
for this new feature or change:
• “Location Port of the Insert
Text and Compositing Blocks No
Longer Supports as Many Data
Types” on page 46
Compatibility Summary for Video and Image Processing Blockset™
Version (Release) New Features and Changes with
Version Compatib ility Impact
V1.1 (R14SP2) See the Compatib i l ity
Considerations subheading
for this new feature or change:
• “Block Obsoleted” on page 50
V1.0.1 (R14SP1)
V1.0 (R14)
None
None
59
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