Code covered by the BSD License

Highlights from
Efficient Graph based image Segmentation

CoherenceFilter(u,Options) This function COHERENCEFILTER will perform Anisotropic Diffusion of a
D=derivatives(I,option) Sobel like derivatives with Scharr rotation invariance stencil notations.
I=imgaussian(I,sigma,siz) IMGAUSSIAN filters an 1D, 2D color/greyscale or 3D image with an
[Dxx,Dxy,Dxz,Dyy,Dyz,Dzz]=Str... From Structure Tensor to Diffusion Tensor, a 3D implementation of the 2D
[Dxx,Dxy,Dyy]=ConstructDiffus... Construct the edge preserving diffusion tensor D = [a,b;b,c] such as
[Jxx, Jxy, Jxz, Jyy, Jyz, Jzz... This function calculates the 3D Structure Tensor
[Jxx, Jxy, Jyy]=StructureTens... This function calculates the 2D
[mu1,mu2,v1x,v1y,v2x,v2y]=Eig... This function computes the eigenvectors and eigen values of the 2D image
[mu3,mu2,mu1,v3x,v3y,v3z,v2x,... This function calculates the eigen values and vectors, of the 3D image hessian.
diffusion_scheme_3D_standard(... Standard Discretization of 3D image diffusion.
graphSeg(img, threshold, min_...
knng_search(img, numOnns) Inputs:
showcs3(varargin) SHOWCS3 M-file for showcs3.fig
u=diffusion_scheme_2D_implici... Diffusion scheme as introduced by Weickert "Anisotropic Diffusion
u=diffusion_scheme_2D_non_neg... The Basic non_negativity diffusion equation. (Can be found in "A Scheme for
u=diffusion_scheme_2D_rotatio... Most diffusion discretizations are not rotation-invariant, probably
u=diffusion_scheme_2D_standar... The standard diffusion equation. (Can be found in "A Scheme for
u=diffusion_scheme_3D_implici... This 3D Diffusion scheme is based on introduced by Weickert
u=diffusion_scheme_3D_non_neg... This is a basic non_negativity discretization of the 3D diffusion
u=diffusion_scheme_3D_rotatio... Most diffusion discretizations are not rotation-invariant. This is an
BuildGLTree.m
CoherenceFilterStep2D.m
CoherenceFilterStep3D.m
DeleteGLTree.m
KNNSearch.m
TestMexFiles.m
compile_c_files.m
test_GraphSeg.m
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Efficient Graph based image Segmentation

by Su Dongcai

17 Nov 2009 (Updated 24 Nov 2009)

A simple and efficient graph based image segmentation algorithm

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Description

This file is an implementation of an image segmentation algorithm described in reference[1], the result of segmentation was proven to be neither too fine nor too coarse. A toolbox regarding to the algorithm was also avalible in reference[2], however, a toolbox in matlab environment is excluded, this file is intended to fill this gap.

To duplicate the result of the screenshot, please run:
test_GraphSeg

Reference:
[1] Efficient Graph-Based Image Segmentation,
Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, Volume 59, Number 2, September 2004
[2] http://people.cs.uchicago.edu/~pff/segment/

Acknowledgement:
The Author want to thanks:
[1] Yan Zhang
      2D/3D image segmentation toolbox
      http://www.mathworks.com/matlabcentral/fileexchange/24998-2d3d-image-segmentation-toolbox
For his "binaryHeap.h" class in cpp
[2] Dirk-Jan Kroon
      Image Edge Enhancing Coherence Filter Toolbox
      http://www.mathworks.com/matlabcentral/fileexchange/25449-image-edge-enhancing-coherence-filter-toolbox
For the "Coherence Filter Toolbox" he provided
And
[3] Luigi Giaccari
      FAST K-NEAREST NEIGHBOURS SEARCH 3D VERSION
      http://www.mathworks.com/matlabcentral/fileexchange/24607-fast-k-nearest-neighbours-search-3d-version
For the fast implementation of K-NEAREST NEIGHBORS SEARCH in 3D.

MATLAB release

MATLAB 7 (R14)

Tags for This File
Everyone's Tags	coarse, fine, graph, image processing, image segmentation(2), kruskal, minimum span tree
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Comments and Ratings (19)
16 Feb 2013	Carl	Hi Su, I am new in graph-based segmentation. In the paper, there is parameter k usually set as 150/300. What is k value in your code, how do I change it? I got segmentation images from all r,g and b channel, how can I intersect with them? Can someone else guide me through this? I will be really appreciated.
19 Jan 2013	Carl	Hi Su, Thanks for the good work. Could you please let me know how to run it with color image? Thanks a lot.
05 Jul 2012	Afaq	Hi Su, Is it possible to find the total number of components (segmented regions) in graph based segmented image by using your code? In the paper, the author is using the term C for total number of component. Can you please guide me in this regard.
20 Jun 2012	Afaq	I was compiling but was getting the specified error. However, issue resolved for Windows by some other approach .... Now I am facing problem while running this code in Linux.
18 Jun 2012	Beijing Jiaotong University	Hi, you must first compile this file.
18 Jun 2012	Afaq	Hi, I am getting following error while running this code. Can any one help me? >> L = graphSeg(filted_I, 0.5, 50, 2, 0); ??? Undefined function or method 'GraphSeg_mex' for input arguments of type 'double'. Error in ==> graphSeg at 44 L = GraphSeg_mex(img, threshold, min_size, nRadius); tried to fix it using mex but it didn't work.
14 Dec 2011	reena	sir can u please tell how u have loaded image of the clown, i want to try this with different images please tell me the steps....
21 Nov 2011	Green amy	want to download it
24 Oct 2011	woon cho
06 Oct 2011	bailjung	Can input another image??
21 Sep 2010	Pindi Mani	Hi... Please tell me how to run this code..... As i am new to MatLab i do not know.... Please tell me the commands and which file to run.... plz tell me soon...... My email_id is linda_mgnl@hotmail.com Expecting a reply soon.... Thank you
20 Sep 2010	Pindi Mani	Please.... As i'm new to matlab.... please tell me how to run this program.... Can u give all the commands to run this program in matlab..... Soon.... My email id is linda_mgnl@hotmail.com Thank you
09 Sep 2010	Chao Zeng	Good work! One problem. The following information appears on the command window when I try to run test_GraphSeg.m. "COMPILING: Error: Could not detect a compiler on local system which can compile the specified input file(s) at C:\Program Files\MATLAB71/bin/mexsetup.pm line 501. ??? Error using ==> mex Unable to complete successfully Error in ==> test_GraphSeg at 30 mex GraphSeg_mex.cpp" What's wrong? Thank you
04 Sep 2010	nivitha	i'm new to matlab.pls temme how to run all those program... pls help me soon thid id ma id (niviadmires@gmail.com)
26 Feb 2010	Su Dongcai	Hi zhao: Good question. According to paper [1], the segmented result of multi-channel image is done by intersection of single-channel image segmentation result. I will update this vision and make it work for color image segmentation later soon. Thanks for your comment.
24 Feb 2010	aber zhao	if the input is the 3 D range image, how can i make this work? thx
18 Jan 2010	piji li	很好很强大正在找呢 Perfect！
29 Nov 2009	Su Dongcai	Hi zaheer ahmad: Thanks for your comment, you are right, the main routine "GraphSeg.h" was still written in C++. Sorry to disappoint you, I'm not familiar of working with pointers in matlab, I'm a c programer before a matlab coder. However, I'll be very happy if you or someone else could fill this gap:).
29 Nov 2009	zaheer ahmad	I thin it would be better if you convert all the code into Matlab as stil main code is in C++.

Updates
24 Nov 2009	Make the name of the title, tags, and reference more accurate

Highlights from Efficient Graph based image Segmentation

Efficient Graph based image Segmentation

Highlights from
Efficient Graph based image Segmentation