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edit-reducing the co-efficient
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this is a code
I=imread('dock.jpg');
I=rgb2gray(I)
threshold=0.624525
NewData = I;
idx = I >= threshold;
NewData(idx) = threshold - eps(threshold);
size(I);
size(NewData);
the size of I and new data are same,,the co-efficients are not yet reduced,and i get all values as 1,
else for example i have a image,which id dock.jpg,is it possible to remove the noise pixels ,so the co-efficients m,ay be reduced,please give suggestiongs for both ,the image is
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Walter Roberson
le 4 Fév 2012
After the line
I=rgb2gray(I);
add
I = double(I);
However, in previous discussions, I emphasized that this threshold is to be applied to the coefficients, not to the image. You are thresholding the image. You should be applying your T-cube algorithm (or whatever it was called) to your image to get the coefficients, and then after thresholding you would reconstruct the image based upon the altered coefficients.
2 commentaires
Walter Roberson
le 5 Fév 2012
I do not have any code for the decomposition routine you referred to earlier (whose real name I cannot locate at the moment, as you deleted that Question.)
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