【图像处理】gabor提取织物表面特征值进行织物瑕疵识别和处理

clear all;clc;       RGB = imread('normalpic.jpg');L=rgb2gray(RGB);% figure,imshow(L)[G,gabout1] = gaborfilter2(L,11,11,0.25,1*pi/3);%对图像进行gabor滤波 % figure,imshow(uint8(gabout1))h = fspecial('gaussian',[3,3],11)I2=imfilter(gabout1,h);  %figure,imshow(uint8(I2))f_max=(3/4)*max(I2(:));f_min=(1/8)*min(I2(:));M = imread('hole.jpg');R=rgb2gray(M);subplot(2,3,1)imshow(R);title('待检图像')[G,gabout] = gaborfilter2(R,11,11,0.25,1*pi/3);%对图像进行gabor滤波subplot(2,3,3)imshow(uint8(gabout));title('Gabor滤波图像');g = fspecial('gaussian',[3,3],11)I3=uint8(imfilter(gabout,g));subplot(2,3,5)imshow(I3);title('高斯平滑图像');[a,b] = size(I3);for i = 1:a;    for j = 1:b;        if I3(i,j)<f_max & I3(i,j)>f_min            I3(i,j) = 0;        else            I3(i,j) = 255;        end    endendB=[0 1 0;1 1 1;0 1 1];I4=imdilate(I3,B);C=[0 1 0;1 1 1;0 1 1];I5=imdilate(I4,C);  ​se = strel('ball',7,5);I6 = imerode(I5,se);​subplot(2,3,6)imshow(I6);title('最终结果');subplot(2,3,2)imhist(R);title('原图直方图');subplot(2,3,4)imhist(uint8(gabout));title('Gabor滤波直方图');%subplot(2,2,3)%imhist(I3);title('高斯平滑直方图');%subplot(2,2,4)%imhist(I5);title('结果直方图');

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完整代码添加QQ1575304183

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