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Others]
leibiefangcha.rar
use category variance gray image of two value method. Than the overall and local threshold effects.
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C/C++]
ANewC4.5alg.rar
... the basic process is as follows : 1. According to the values of attributes of sorting two data sets. different thresholds of data sets dynamic classification 3. According iteration threshold Progressive- draw 4. all possible threshold, and gains than Gain
Category:
AI-NN-PR Upload User:
sdhtgtwz Size:
145K
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Matlab]
fuzzy_thresh.rar
a threshold based on the fuzzy image segmentation is based on MATLAB programming, we want to help!
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Matlab]
Morphological_Opening.rar
... and analysis techniques, that the gray image proceed as follows : Removal of uneven background image; by setting the threshold value method (thresholding) will be converted into images results binary image; through the composition tags (components ...
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Matlab]
autoThreshholding.rar
image segmentation threshold automation identified through iterative algorithm to achieve an optimal threshold segmentation point
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Visual C++ (VC++)]
LineTrans.rar
Visual C gray level to achieve linear transformation (gray deep, the window transform, threshold changes, gray balance, Anti-color images, etc.)
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Visual C++ (VC++)]
TuXiangFenGe1.rar
Basic procedures: The procedures for the realization of image segmentation, using a fixed threshold segmentation for the initial study and VC
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Matlab]
denosing.rar
Donoho threshold improvement of classical wavelet denoising method, matlab source code editing environment procedures
Category:
matlab Upload User:
szlif83 Size:
10K
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Matlab]
lifting_97.zip
... for the hard thresholding and soft thresholding shortcomings, through the contraction of the double weight of the threshold function has been multiplied by a suitable coefficient revised compromise, proposed a new wavelet-domain partially adaptive ...
Category:
matlab Upload User:
zhx1682006 Size:
3K
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[
Matlab]
cycle_spinning.zip
Wavelet Image Threshold Denoising Method is one of the many methods of image denoising leader, which uses image wavelet decomposition, each sub-band images of the different features, select a different threshold, so as to achieve better denoising effect