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equalize_hist

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  • Update : 2017-12-13
  • Size : 2kb
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  • Author :大学城****
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Introduction - If you have any usage issues, please Google them yourself
1. mean filtering: linear filtering, there are a. neighborhood averages and two B. weighted averages. A. neighborhood average with a pixel neighborhood average value as the filtering results, the filter of the template coefficient is 1, in order to ensure the output figure is still in the original gray value range, to be divided by the total number of coefficients and then assign it in R, on the 3*3 template, to be divided by the coefficient in 9 was R. B.: the weighted average of the same size of the template, the coefficients can be in different positions with different values, generally from the template corresponding to the center pixel near pixel filtering results and a larger contribution to deal with, so close to the center of the template coefficient is relatively large and near the boundary line template number should be relatively small. Take the 3*3 template as an example:
Packet file list
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FilenameSizeUpdate
BitReverseCopy.m 239 2017-11-22
dft2d.m 4257 2017-11-22
equalize_hist.m 400 2017-11-22
equalize_img.m 365 2017-11-22
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