A contrario segmentation: Acsegmentor

Research.Acsegmentor History

Hide minor edits - Show changes to markup

May 26, 2014, at 03:46 AM by 208.66.25.130 -
Deleted lines 4-6:
May 26, 2014, at 03:46 AM by 208.66.25.130 -
Changed lines 6-7 from:
to:
Changed lines 6-7 from:
to:
January 18, 2009, at 06:17 PM by 81.240.213.170 -
Changed line 23 from:
  • Source acsegmentor-0.2.0a-Source.tar.bz2 or acsegmentor-0.2.0a-Source.zip (bigger)
to:
  • Source acsegmentor-0.2.0a-Source.zip
January 18, 2009, at 06:08 PM by 81.240.213.170 -
Changed line 18 from:
  • Version 0.2a (18 Janvier 2008)
to:
  • Version 0.2a (18 January 2009)
January 18, 2009, at 06:07 PM by 81.240.213.170 -
Changed line 19 from:
  • NEWS
to:
  • Changes
January 18, 2009, at 06:07 PM by 81.240.213.170 -
Added lines 19-22:
  • NEWS
    • GUI improvements.
    • Better default parameters.
    • Compilation fixes for newer gcc (v4.3.2).
January 18, 2009, at 06:03 PM by 81.240.213.170 -
Changed lines 14-15 from:

More details can be found in this draft paper PDF submitted to Pattern Recognition or in this paper (in french) presented to RFIA 2008 PDF.

to:

More details can be found in this paper PDF to appear in Pattern Recognition or in this paper (in french) presented to RFIA 2008 PDF.

Changed lines 18-20 from:
  • Version 0.1 (14 September 2007)
    • Source acsegmentor-0.1.0-Source.tar.bz2 or acsegmentor-0.1.0-Source.zip (bigger)
to:
  • Version 0.2a (18 Janvier 2008)
    • Source acsegmentor-0.2.0a-Source.tar.bz2 or acsegmentor-0.2.0a-Source.zip (bigger)
Added lines 21-27:
  • amd64: acsegmentor-0.2.0a-Linux-amd64.tar.bz2
  • Other platforms
    • No binaries yet. Compilation has not yet been tested on Windows neither Mac OS X.
  • Version 0.1 (14 September 2007)
    • Source acsegmentor-0.1.0-Source.tar.bz2 or acsegmentor-0.1.0-Source.zip (bigger)
    • Linux binaries
January 18, 2009, at 01:48 PM by 81.240.213.170 -
Changed lines 69-74 from:
     exploration heuristic and watershed initialization with sigma=0.8

  $ acsegmentor —image lena.pgm —output myoutput.pgm —initializer egbis
  => idem as above with an egbis initialization with default parameters
     (k=300, sigma=0.8), result is in `myoutput.pgm’
to:
     exploration heuristic and egbis initialization with sigma=0.8 K=150 minsize=20

  $ acsegmentor —image lena.pgm —output myoutput.pgm —initializer watershed
  => idem as above with a watershed initialization with default parameters
     (sigma=0.8), result is in `myoutput.pgm’
Changed lines 95-96 from:
  $ acsegmentor —threshold-database-output thresholds.xml                 —width 1024 —height 1024 —initializer egbis \
to:
  $ acsegmentor —learn —threshold-database thresholds.xml                 —width 1024 —height 1024 \
Changed lines 14-15 from:

More details can be found in this draft paper PDF submitted to Pattern Recognition.

to:

More details can be found in this draft paper PDF submitted to Pattern Recognition or in this paper (in french) presented to RFIA 2008 PDF.

Changed lines 1-2 from:

(:title ''A contrario'' segmentor: Acsegmentor:)

to:

(:title ''A contrario'' segmentation: Acsegmentor:)

Changed lines 1-2 from:

(:title A contrario segmentor: Acsegmentor:)

to:

(:title ''A contrario'' segmentor: Acsegmentor:)

Changed lines 1-2 from:

(:title A contrario segmentor:)

to:

(:title A contrario segmentor: Acsegmentor:)

Added lines 1-2:

(:title A contrario segmentor:)

Changed lines 4-5 from:

Contact: burrus@ensta.fr

to:
Changed line 23 from:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1.0-Darwin.tar.bz2
to:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1.0-Darwin.zip
Changed line 23 from:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1.0-Darwin.tar.bz2
to:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1.0-Darwin.tar.bz2
Changed line 23 from:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1.0-MacOSX11-intel.tar.bz2
to:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1.0-Darwin.tar.bz2
Changed line 118 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (9 regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/noise-egbis-filtered.png Filtered (9 regions)
Changed lines 107-108 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png Watershed (xx regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png Filtered (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png Watershed (1839 regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png Filtered (54 regions)
Changed lines 110-111 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (267 regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (36 regions)
Added lines 114-120:
http://nicolas.burrus.name/pub/files/research/acsegmentor/noise.png “House” image http://nicolas.burrus.name/pub/files/research/acsegmentor/noise-egbis.png Egbis (1867 regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (9 regions)
Changed line 21 from:
  • amd64: acsegmentor-0.1.0-Linux-amd64.tar.bz2
to:
  • amd64: acsegmentor-0.1.0-Linux-amd64.tar.bz2
Changed line 18 from:
  • Source acsegmentor-0.1-Source.tar.bz2 or acsegmentor-0.1-Source.zip (bigger)
to:
  • Source acsegmentor-0.1.0-Source.tar.bz2 or acsegmentor-0.1.0-Source.zip (bigger)
Changed lines 20-21 from:
  • x86: acsegmentor-0.1-Linux-x86.tar.bz2
  • amd64: acsegmentor-0.1-Linux-amd64.tar.bz2
to:
  • x86: acsegmentor-0.1.0-Linux-x86.tar.bz2
  • amd64: acsegmentor-0.1.0-Linux-amd64.tar.bz2
Changed lines 23-25 from:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1-MacOSX11-intel.tar.bz2
  • Windows binaries (32bits, tested with VC8 and mingw with WinXP): acsegmentor-0.1-Windows.zip
to:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1.0-MacOSX11-intel.tar.bz2
  • Windows binaries (32bits, tested with VC8 and mingw with WinXP): acsegmentor-0.1.0-Windows.zip
Changed line 23 from:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1-MacOSX11-intel.tar.bz2
to:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1-MacOSX11-intel.tar.bz2
Changed lines 20-21 from:
  • x86 acsegmentor-0.1-Linux-x86.tar.bz2
  • amd64 acsegmentor-0.1-Linux-amd64.tar.bz2
to:
  • x86: acsegmentor-0.1-Linux-x86.tar.bz2
  • amd64: acsegmentor-0.1-Linux-amd64.tar.bz2
Changed lines 23-25 from:
  • Intel (tested on Tiger 10.4.10) acsegmentor-0.1-MacOSX11-intel.tar.bz2
  • Windows binaries (32bits, tested with VC8 and mingw in Win XP) acsegmentor-0.1-Windows.zip
to:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1-MacOSX11-intel.tar.bz2
  • Windows binaries (32bits, tested with VC8 and mingw with WinXP): acsegmentor-0.1-Windows.zip
Changed lines 20-21 from:
  • x86: acsegmentor-0.1-Linux-x86.tar.bz2
  • amd64: acsegmentor-0.1-Linux-amd64.tar.bz2
to:
  • x86 acsegmentor-0.1-Linux-x86.tar.bz2
  • amd64 acsegmentor-0.1-Linux-amd64.tar.bz2
Changed lines 23-25 from:
  • Intel (tested on Tiger 10.4.10): acsegmentor-0.1-MacOSX11-intel.tar.bz2
  • Windows binaries (32bits, tested with VC8 and mingw in Win XP)acsegmentor-0.1-Windows.zip
to:
  • Intel (tested on Tiger 10.4.10) acsegmentor-0.1-MacOSX11-intel.tar.bz2
  • Windows binaries (32bits, tested with VC8 and mingw in Win XP) acsegmentor-0.1-Windows.zip
Changed line 22 from:
  • MacOSX binaries
to:
  • Mac OS X binaries
Changed line 22 from:
to:
  • MacOSX binaries
Changed line 19 from:
  • Linux binaries
to:
  • Linux binaries
Changed lines 22-25 from:
  • MacOSX binaries
    • Intel: acsegmentor-0.1-MacOSX11-intel.tar.bz2
  • Windows binaries, run it with command.com or Msys to provide command line arguments: acsegmentor-0.1-Windows.zip
to:
  • `MacOSX binaries
    • Intel (tested on Tiger 10.4.10): acsegmentor-0.1-MacOSX11-intel.tar.bz2
  • Windows binaries (32bits, tested with VC8 and mingw in Win XP)acsegmentor-0.1-Windows.zip
Changed line 17 from:
  • Version 0.1 (5 September 2007)
to:
  • Version 0.1 (14 September 2007)
Deleted line 17:
  • Note: The code still has a “research flavor”, i.e. suffer from incremental development design issues.
Changed lines 12-13 from:

More details can be found in this ***draft paper*** PDF submitted to Pattern Recognition.

to:

More details can be found in this draft paper PDF submitted to Pattern Recognition.

Changed lines 12-13 from:

More details can be found in this draft PDF submitted to Pattern Recognition.

to:

More details can be found in this ***draft paper*** PDF submitted to Pattern Recognition.

Changed lines 60-62 from:

for the GUI version, or type acsegmentor --help to find the (numerous) available command line options.

to:
   for the GUI version, or type acsegmentor --help to find the (numerous) available
   command line options.
Changed lines 31-32 from:

Acsegmentor uses C Make (http://www.cmake.org) to generate Makefiles, KDevelop, XCode or VisualStudio projects. Once cmake is installed, you just need to run it on the root directory of the source tree. It is available in most Linux distributions.

to:

Acsegmentor uses CMake (http://www.cmake.org) to generate Makefiles, KDevelop, XCode or VisualStudio projects. Once cmake is installed, you just need to run it on the root directory of the source tree. It is available in most Linux distributions.

Changed line 24 from:
  • Intel and X11: acsegmentor-0.1-MacOSX11-intel.tar.bz2
to:
  • Intel: acsegmentor-0.1-MacOSX11-intel.tar.bz2
Changed lines 59-61 from:
  • Acsegmentor aims at segmenting an image into homogenenous regions.
  • Use acsegmentor --help to find the (numerous) available command line options
to:
  • There are a console mode and a GUI mode. Use it without command line parameters

for the GUI version, or type acsegmentor --help to find the (numerous) available command line options.

Changed line 65 from:
  $ acsegmentor —image lena.pgm —output output.pgm
to:
  $ acsegmentor —image lena.pgm
Changed line 70 from:
  $ acsegmentor —image lena.pgm —output output.pgm —initializer egbis
to:
  $ acsegmentor —image lena.pgm —output myoutput.pgm —initializer egbis
Changed lines 72-74 from:
     (k=50, sigma=0.8).

  $ acsegmentor —image bigimage.pgm —output output.pgm
to:
     (k=300, sigma=0.8), result is in `myoutput.pgm’

  $ acsegmentor —image bigimage.pgm
Changed lines 76-79 from:
  => Thresholds were pre-computed for some standard image sizes 
     256×256, 384×256 and 512×512. For other sizes, you have to
     learn new thresholds (see LEARNING EXAMPLES).
to:
  => Thresholds were pre-computed for some 256×256 images. 
     For other sizes, you have to learn new thresholds
     (see LEARNING EXAMPLES).
Changed line 98 from:
  => 1000 images will be analyzed to deduce statistical thresholds.
to:
  => 1000 noise images will be analyzed to deduce statistical thresholds.
Added line 18:
  • Note: The code still has a “research flavor”, i.e. suffer from incremental development design issues.
Changed lines 59-60 from:
  • Use `acsegmentor —help’ to find the (numerous) available command line options
to:
  • Use acsegmentor --help to find the (numerous) available command line options
Changed line 17 from:
  • Version 0.1
to:
  • Version 0.1 (5 September 2007)
Changed lines 30-31 from:

Acsegmentor uses C Make (http://www.cmake.org) to generate Makefiles, K Develop, X Code or Visual Studio projects. Once cmake is installed, you just need to run it on the root directory of the source tree. It is available in most Linux distributions.

to:

Acsegmentor uses C Make (http://www.cmake.org) to generate Makefiles, KDevelop, XCode or VisualStudio projects. Once cmake is installed, you just need to run it on the root directory of the source tree. It is available in most Linux distributions.

Changed line 22 from:
to:
  • MacOSX binaries
Changed lines 24-25 from:
  • Windows binaries, run it with command.com or Msys to provide command line arguments: acsegmentor-0.1.exe
to:
  • Windows binaries, run it with command.com or Msys to provide command line arguments: acsegmentor-0.1-Windows.zip
Added lines 17-25:
  • Version 0.1
    • Source acsegmentor-0.1-Source.tar.bz2 or acsegmentor-0.1-Source.zip (bigger)
    • Linux binaries
      • x86: acsegmentor-0.1-Linux-x86.tar.bz2
      • amd64: acsegmentor-0.1-Linux-amd64.tar.bz2
    • MacOSX binaries
      • Intel and X11: acsegmentor-0.1-MacOSX11-intel.tar.bz2
    • Windows binaries, run it with command.com or Msys to provide command line arguments: acsegmentor-0.1.exe
Changed lines 4-5 from:

Contact: burrus@ensta.fr

to:

Contact: burrus@ensta.fr

Added line 16:
Changed lines 3-4 from:

Contact: burrus@ensta.fr

to:

Contact: burrus@ensta.fr

Changed lines 3-4 from:
to:

Contact: burrus@ensta.fr

Added line 45:
Deleted lines 11-23:

Examples

http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png Watershed (xx regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png Filtered (xx regions)
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (xx regions)
Added lines 43-99:
  • Introduction
    • Acsegmentor aims at segmenting an image into homogenenous regions.
    • Use `acsegmentor —help’ to find the (numerous) available command line options
  • Segmentation examples
  $ acsegmentor --image lena.pgm --output output.pgm
  => segment the image lena, resulting segmentation is in `output.pgm'.
  => use default parameters: a contrario segmentation with MergeBest 
     exploration heuristic and watershed initialization with sigma=0.8

  $ acsegmentor --image lena.pgm --output output.pgm --initializer egbis
  => idem as above with an egbis initialization with default parameters
     (k=50, sigma=0.8).

  $ acsegmentor --image bigimage.pgm --output output.pgm
  => Exception raised because no thresholds can be found.
  => Thresholds were pre-computed for some standard image sizes 
     256x256, 384x256 and 512x512. For other sizes, you have to
     learn new thresholds (see LEARNING EXAMPLES).

  $ acsegmentor --image bigimage.pgm --output output.pgm --sigma 1.1
  => Exception raised because no thresholds can be found.
  => Specific thresholds must be computed for each parameter. 
     Pre-computed thresholds are given only for default parameters.
  => You have to run a learning process.

  $ acsegmentor --image bigimage.pgm --output output.pgm \
                --threshold-database thresholds.xml
  => Read additional thresholds from `thresholds.xml'. These
     thresholds can be generated automatically by the learning phase.
  • Learning examples
  $ acsegmentor --threshold-database-output thresholds.xml \
                --width 1024 --height 1024 --initializer egbis \
                --nb-iterations 1000
  => Learn thresholds for 1024x1024 images for an egbis initializer.
  => 1000 images will be analyzed to deduce statistical thresholds.
  => Resulting thresholds will be put into `thresholds.xml'. This file
     can then be used to segment new 1024x1024 images.

Examples

http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png Watershed (xx regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png Filtered (xx regions)
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (xx regions)
Added line 14:
Changed lines 16-17 from:
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png Watershed (xx regions)
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png Filtered (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png Watershed (xx regions) http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png Filtered (xx regions)
Changed line 20 from:
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (xx regions)
Added line 13:
Deleted line 12:
Changed line 15 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
Changed line 19 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
Changed line 15 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
Changed line 19 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
Changed line 15 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
Changed line 19 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
Changed line 15 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
Changed line 19 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
Changed lines 8-11 from:

Two algorithms are implemented to provide to initial partitions: classical watershed (Vincent & Soille) and the algorithm of P. Felzenszwalb and D. Huttenlocher published in the IJCV paper “Efficient Graph-Based Image Segmentation” (authors’ webpage), called EGBIS here.

More details can be found in this draft submitted to Pattern Recognition.

to:

Two algorithms are implemented to provide to initial partitions: classical watershed (Vincent & Soille) and the algorithm of P. Felzenszwalb and D. Huttenlocher published in the IJCV paper “Efficient Graph-Based Image Segmentation” (authors’ webpage), called EGBIS here.

More details can be found in this draft PDF submitted to Pattern Recognition.

Changed lines 8-9 from:

Two algorithms are implemented to provide to initial partitions: classical watershed (Vincent & Soille) and the algorithm of P. Felzenszwalb and D. Huttenlocher published in the IJCV paper “Efficient Graph-Based Image Segmentation” (Authors’ webpage).

to:

Two algorithms are implemented to provide to initial partitions: classical watershed (Vincent & Soille) and the algorithm of P. Felzenszwalb and D. Huttenlocher published in the IJCV paper “Efficient Graph-Based Image Segmentation” (authors’ webpage), called EGBIS here.

Changed lines 8-9 from:

Two algorithms are implemented to provide to initial partitions: classical watershed (Vincent & Soille) and the algorithm of P. Felzenszwalb and D. Huttenlocher published in the IJCV paper “Efficient Graph-Based Image Segmentation” ([[http://people.cs.uchicago.edu/~pff/segment/|Web page of the authors]).

to:

Two algorithms are implemented to provide to initial partitions: classical watershed (Vincent & Soille) and the algorithm of P. Felzenszwalb and D. Huttenlocher published in the IJCV paper “Efficient Graph-Based Image Segmentation” (Authors’ webpage).

Changed lines 6-7 from:

Acsegmentor comes with an example of distance function which analyze gray level distributions difference, deviations and frontier contrast between couples of regions. It also comes with a simple exploration heuristic, which, starting with a initial partition, iteratively merges the least different regions until only meaningful couples of regions remain.

to:

Acsegmentor comes with an example of distance function which analyzes frontier contrast, gray level distributions and deviations differences between couples of regions. It also comes with a simple exploration heuristic, which, starting with a initial partition, iteratively merges the least different regions until only meaningful couples of regions remain.

Two algorithms are implemented to provide to initial partitions: classical watershed (Vincent & Soille) and the algorithm of P. Felzenszwalb and D. Huttenlocher published in the IJCV paper “Efficient Graph-Based Image Segmentation” ([[http://people.cs.uchicago.edu/~pff/segment/|Web page of the authors]).

Changed lines 4-5 from:

Acsegmentor aims at segmenting gray-level images into homogeneous regions. It’s a generic algorithm: it requires a distance function between regions, an exploration heuristic and automatically find thresholds ensuring that regions in the final partitions will be statistically meaningfully different. This step is done using a contrario reasoning: two regions are meaningfully different is the probability that the exploration heuristic find such different regions in pure noise is very low. This ensures that in the final partition, statistically, regions difference are not due to chance but are a result of some physical phenomena, such as different objects in the scene.

to:

Acsegmentor aims at segmenting gray-level images into homogeneous regions. It’s a generic algorithm: it requires a distance function between regions, an exploration heuristic and automatically find thresholds ensuring that regions in the final partitions will be statistically meaningfully different. This step is done using a contrario reasoning: two regions are meaningfully different is the probability that the exploration heuristic find such different regions in pure noise is very low. This ensures that in the final partition, statistically, regions difference are not due to chance but are a result of some physical phenomena, such as different objects in the scene.

Changed line 17 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
Changed line 13 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
Changed line 17 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
Changed line 15 from:
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png” Filtered (xx regions)
to:
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png Filtered (xx regions)
Changed lines 13-15 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png “House” image
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png Watershed (xx regions)
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png” Filtered (xx regions)
Changed lines 17-18 from:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png
to:
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png Egbis (xx regions)
    http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png Filtered (xx regions)
Changed line 12 from:
to:
Added lines 12-21:
    
    
http://nicolas.burrus.name/pub/files/research/acsegmentor/house.png http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed.png http://nicolas.burrus.name/pub/files/research/acsegmentor/house-watershed-filtered.png
http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis.png http://nicolas.burrus.name/pub/files/research/acsegmentor/house-egbis-filtered.png
Changed lines 18-22 from:

Acsegmentor uses C Make (http://www.cmake.org) to generate Makefiles, K Develop, X Code or Visual Studio projects. Once cmake is installed, you just need to run it on the root directory of the source tree. It is available in most Linux distributions.

to:

Acsegmentor uses C Make (http://www.cmake.org) to generate Makefiles, K Develop, X Code or Visual Studio projects. Once cmake is installed, you just need to run it on the root directory of the source tree. It is available in most Linux distributions.

Changed lines 21-25 from:

Acsegmentor also depends upon VXL (http://vxl.sourceforge.net), Boost (http://boost.org) and Juce (http://www.rawmaterialsoftware.com/juce/). These libraries are embedded in the source tree to avoid extra installations and to make sure that you have a compatible version.

to:

Acsegmentor also depends upon VXL (http://vxl.sourceforge.net), Boost (http://boost.org) and Juce (http://www.rawmaterialsoftware.com/juce/). These libraries are embedded in the source tree to avoid extra installations and to make sure that you have a compatible version.

Changed line 17 from:
  • CMake
to:
  • CMake \\
Changed line 23 from:
  • Dependencies
to:
  • Dependencies \\
Changed line 29 from:
  • Example on Unix
to:
  • Example on Unix \\
Changed line 17 from:
to:
  • CMake
Deleted line 29:
Changed lines 17-18 from:

Requirements

to:
Deleted line 19:
Added line 23:
  • Dependencies
Deleted line 25:
Changed lines 29-30 from:

Example on Unix

to:
  • Example on Unix
Added line 3:
Added lines 16-50:

Requirements

Acsegmentor uses C Make (http://www.cmake.org) to generate Makefiles, K Develop, X Code or Visual Studio projects.

Once cmake is installed, you just need to run it on the root directory of the source tree. It is available in most Linux distributions.

Acsegmentor also depends upon VXL (http://vxl.sourceforge.net), Boost (http://boost.org) and Juce (http://www.rawmaterialsoftware.com/juce/).

These libraries are embedded in the source tree to avoid extra installations and to make sure that you have a compatible version.

Example on Unix

$ mkdir build
$ cd build
$ ccmake /path/to/acsegmentor-0.1-Source
=> Console based-interface
=> Type 'c' (configure, maybe twice) 
   and then 'g' (generate) to create Makefiles.
=> You might want to change build settings. For example, to enable
   both optimizations and debugging symbols, 
   enter `RelWithDebInfo' in CMAKE_BUILD_TYPE. For the fastest binaries,
   enter `Release'.

$ make

$ src/acsegmentor
=> should be ok
Added lines 3-8:

Acsegmentor aims at segmenting gray-level images into homogeneous regions. It’s a generic algorithm: it requires a distance function between regions, an exploration heuristic and automatically find thresholds ensuring that regions in the final partitions will be statistically meaningfully different. This step is done using a contrario reasoning: two regions are meaningfully different is the probability that the exploration heuristic find such different regions in pure noise is very low. This ensures that in the final partition, statistically, regions difference are not due to chance but are a result of some physical phenomena, such as different objects in the scene.

Acsegmentor comes with an example of distance function which analyze gray level distributions difference, deviations and frontier contrast between couples of regions. It also comes with a simple exploration heuristic, which, starting with a initial partition, iteratively merges the least different regions until only meaningful couples of regions remain.

More details can be found in this draft submitted to Pattern Recognition.

Changed lines 1-2 from:

Project description

to:

Introduction

Added lines 1-9:

Project description

Examples

Download

Installation

Basic usage