color image segmentation: speedTrans(Jmap, threshold, sigma) - File Exchange

Code covered by the BSD License

Highlights from
color 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
Jmap_complie()
RegionMerging_complie()
[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.
cmp_Jmap(img, scale, n_colors... compute Jmap introduce in [1]
colorImgSeg(img_dir, ... An implementation of [1]
diffusion_scheme_3D_standard(... Standard Discretization of 3D image diffusion.
local_min_complie()
local_min_img(img, scale) find the local minima with neighbor-hood scale 'scale' of an image
seededRegionGrowing_complie()
showcs3(varargin) SHOWCS3 M-file for showcs3.fig
speedTrans(Jmap, threshold, s... trans the Jmap to a speed map
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
CoherenceFilterStep2D.m
CoherenceFilterStep3D.m
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from color image segmentation by Su Dongcai
segment color image robust to texture

speedTrans(Jmap, threshold, sigma)

function speed_map = speedTrans(Jmap, threshold, sigma)
%trans the Jmap to a speed map
%inputs:
%  Jmap:
%  threshold: edge threshold
%  sigma: 
%outputs:
%  speed_map
Jmap = Jmap / max(Jmap(:));
Jmap = 1-Jmap;
edge = (Jmap > threshold);
speed_map = exp(-((Jmap-threshold)/sigma).^2);
speed_map(edge) = 1;

Highlights from color image segmentation

Highlights from
color image segmentation