MATLAB实现小波变换边缘提取
clear all;
load wbarb; %小波变换边缘提取程序
I = ind2gray(X,map);%检索图转成灰度图
imshow(I);
I1 = imadjust(I,stretchlim(I),[0,1]);%调整图像的像素值，可以改变对比度和颜色 stretchlim返回拉伸的限值
figure;
imshow(I1);
[N,M] = size(I);%图像的尺寸
h = [0.125,0.375,0.375,0.125];
g = [0.5,-0.5]; delta = [1,0,0];
J = 3; a(1:N,1:M,1,1:J 1) = 0;
dx(1:N,1:M,1,1:J 1) = 0;
dy(1:N,1:M,1,1:J 1) = 0;
d(1:N,1:M,1,1:J 1) = 0;
a(:,:,1,1) = conv2(h,h,I,'same');%矩阵的卷积 same表示返回的和I一样大的
dx(:,:,1,1) = conv2(delta,g,I,'same');
dy(:,:,1,1) = conv2(g,delta,I,'same');
x = dx(:,:,1,1);
y = dy(:,:,1,1);
d(:,:,1,1) = sqrt(x.^2 y.^2);
I1 = imadjust(d(:,:,1,1),stretchlim(d(:,:,1,1)),[0 1]);
figure;
imshow(I1);
lh = length(h);
lg = length(g);
for j = 1:J 1
lhj = 2^j*(lh-1) 1;
lgj = 2^j*(lg-1) 1;
hj(1:lhj)=0;
gj(1:lgj)=0;
for n = 1:lh
hj(2^j*(n-1) 1)=h(n);
end
for n = 1:lg
gj(2^j*(n-1) 1)=g(n);
end
a(:,:,1,j 1) = conv2(hj,hj,a(:,:,1,j),'same');
dx(:,:,1,j 1) = conv2(delta,gj,a(:,:,1,j),'same');
dy(:,:,1,j 1) = conv2(gj,delta,a(:,:,1,j),'same');
x = dx(:,:,1,j 1);
y = dy(:,:,1,j 1);
dj(:,:,1,j 1) = sqrt(x.^2 y.^2);
I1 = imadjust(dj(:,:,1,j 1),stretchlim(dj(:,:,1,j 1)),[0 1]);
figure;
imshow(I1);
end
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