Efficient Graph based image Segmentation: CoherenceFilterStep2D.m - File Exchange

Code covered by the BSD License

Highlights from
Efficient Graph based image Segmentation

showcs3(varargin) SHOWCS3 M-file for showcs3.fig
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:
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
View all files

from Efficient Graph based image Segmentation by Su Dongcai
A simple and efficient graph based image segmentation algorithm

CoherenceFilterStep2D.m

% This function CoherenceFilterStep2D is a MEX file which performs one 
% Anisotropic Diffusion  step on 2D gray/color image, using Weickerts 
% Rotation invariant diffusion scheme, and diffusion equation. 
%
% This mex file only uses CoherenceFilterStep2D.c and CoherenceFilterStep2D_functions.c
%
% Iout = CoherenceFilterStep2D(Iin, Options)
%
% inputs,
%   Iin : 2D gray/color image with datatype double
%   Options : Struct with filtering options (See CoherenceFilter.m)
%   
% outputs,
%   Iout : The anisotropic diffusion filtered image
%
% Written by D.Kroon University of Twente (September 2009)

Highlights from Efficient Graph based image Segmentation

Highlights from
Efficient Graph based image Segmentation