Error in image normalization
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Hello Team,
I have written this code to compute the normalization of a gradient image.
if true
% code
function [horDiffNorm, verDiffNorm] = normalization(H, V)
sumH = 0;
sumV = 0;
[rowsH, colsH, depthH] = size(H);
[rowsV, colsV, depthV] = size(V);
for jH = 1:1:rowsH
for iH = 1:1:colsH
for zH = 1:1:colsH
if (zH ~= iH)
sumH = sumH + power(H(jH, zH), 2);
end
end
horDiffNorm(jH, iH) = H(jH, iH)/ sqrt(double(1/(2*(colsH-1))*sumH));
end
end
end
end
I performed debugging and noticed the value of SumH reaches (255) at zH = 32 and then it stuck at 255, even though the next pixels are not 0.
Can you please help?
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その他の回答 (1 件)
Image Analyst
2018 年 10 月 6 日
0 投票
Why not simply use imgradient()?
10 件のコメント
Matlab Student
2018 年 10 月 6 日
Matlab Student
2018 年 10 月 6 日
Image Analyst
2018 年 10 月 6 日
What is that formula supposed to do? If you just want the gradient magnitude, why can't you just use imgradient()? What do you need to do AFTER that?
Matlab Student
2018 年 10 月 6 日
編集済み: Matlab Student
2018 年 10 月 6 日
Image Analyst
2018 年 10 月 7 日
You're going all the way from the pixel to the extreme far right edge and extreme bottom edge, instead of just in a localized scanning window like usual. Why???
Matlab Student
2018 年 10 月 7 日
Matlab Student
2018 年 10 月 7 日
Image Analyst
2018 年 10 月 7 日
What are you trying to do with this unusual algorithm? A spatial filter? A convolution? A correlation? Why did you program it up in the first place?
What is H? Is it already the gradient image, or do you want to take the gradient of H?
Matlab Student
2018 年 10 月 7 日
Matlab Student
2018 年 10 月 7 日
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