icgraph.m

来自「对图像分割归一化算法进行编程」· M 代码 · 共 40 行

function [W,imageEdges] = ICgraph(I,dataW,dataEdgemap);
% [W,imageEdges] = ICgraph(I,dataW,dataEdgemap);
% Input:
% I = gray-level image
% optional parameters: 
% dataW.sampleRadius=10;
% dataW.sample_rate=0.3;
% dataW.edgeVariance = 0.1;
% 
% dataEdgemap.parametres=[4,3, 21,3];%[number of filter orientations, number of scales, filter size, elongation]
% dataEdgemap.threshold=0.02;        %参数为[滤波器方向个数，尺寸个数，滤波器大小，elongation]？？？
% 
% Output: 
% W: npixels x npixels similarity matrix based on Intervening Contours
% imageEdges: image showing edges extracted in the image
%输出：
% 加权像素相似性矩阵 在轮廓介入的基础上
% 图像边界：显示提取的边界
% Timothee Cour, Stella Yu, Jianbo Shi, 2004.



[p,q] = size(I);

if (nargin< 2) | isempty(dataW),
    dataW.sampleRadius=10;
    dataW.sample_rate=0.3;
    dataW.edgeVariance = 0.1;
end

if (nargin<3) | isempty(dataEdgemap),
    dataEdgemap.parametres=[4,3, 21,3];%[number of filter orientations, number of scales, filter size, elongation]
    dataEdgemap.threshold=0.02;        % 参数为[滤波器方向个数，尺寸个数，滤波器大小，elongation]？？
end


edgemap = computeEdges(I,dataEdgemap.parametres,dataEdgemap.threshold);
imageEdges = edgemap.imageEdges;
W = computeW(I,dataW,edgemap.emag,edgemap.ephase);