我试图为边缘检测编写Prewitt操作符的实现。到目前为止,我已经尝试过:
openImage = im2double(rgb2gray(imread(imageSource)));
[rows,cols] = size(openImage);
N(1:rows,1:cols)=0;
for i=1:rows-2;
for j=1:rows-2;
N(i,j)=-1*openImage(i,j)-1*openImage(i,j+1)-1*openImage(i,j+2)+0+0+0+1*openImage(i+2,j)+1*openImage(i+2,j+1)+1*openImage(i+2,j+2);
end;
end;
O(1:rows,1:cols)=0;
for i=1:rows-2;
for j=1:rows-2;
O(i,j)=-1*openImage(i,j)+0+1*openImage(i,j+2)-1*openImage(i+2,j)+0+1*openImage(i+1,j+2)-1*openImage(i+2,j)+0+1*openImage(i+2,j+2);
end
end
Z = N + O;为此,我可以获得:

可以看到,该图像得到了一半的图像处理和半空白。我做错了什么?
这是原始图像:

发布于 2015-07-02 12:26:21
考虑以下代码:
I = im2double(rgb2gray(..));
[rows,cols] = size(I);
N = zeros(size(I));
for i=2:rows-1;
for j=2:cols-1;
N(i,j) = 1*I(i-1,j-1) + 1*I(i-1,j) + 1*I(i-1,j+1) + ...
0 + 0 + 0 + ...
-1*I(i+1,j-1) + -1*I(i+1,j) + -1*I(i+1,j+1);
end
end
O = zeros(size(I));
for i=2:rows-1;
for j=2:cols-1;
O(i,j) = 1*I(i-1,j-1) + 0 + -1*I(i-1,j+1) + ...
1*I(i,j-1) + 0 + -1*I(i,j+1) + ...
1*I(i+1,j-1) + 0 + -1*I(i+1,j+1);
end
end
Z = sqrt(N.^2 + O.^2);
imshow(Z)然后比较一下到:
Gx = conv2(I, [-1 0 1; -1 0 1; -1 0 1]);
Gy = conv2(I, [-1 -1 -1; 0 0 0; 1 1 1]);
G = sqrt(Gx.^2 + Gy.^2);
T = atan2(Gy, Gx);
imshow(G)注意,您可能必须使用imshow(result,[])来正确地显示0,1值范围之外的结果。
发布于 2015-07-02 12:03:38
for j=1:rows-2;必须是
for j=1:cols-2;https://stackoverflow.com/questions/31183602
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