matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file

Packet : 83390063sambhare.rar filelist
sambhare\Detecting Artifacts and Textures in Wavelet Coded Images.doc
sambhare\Detecting Artifacts and Textures in Wavelet Coded Images.pdf
sambhare\sambhare.ppt
sambhare\SegmentationFinal\1.bmp
sambhare\SegmentationFinal\3.bmp
sambhare\SegmentationFinal\4.bmp
sambhare\SegmentationFinal\6.bmp
sambhare\SegmentationFinal\barbaraportion.png
sambhare\SegmentationFinal\c1.bmp
sambhare\SegmentationFinal\c2.bmp
sambhare\SegmentationFinal\c3.bmp
sambhare\SegmentationFinal\c4.bmp
sambhare\SegmentationFinal\chisq.m
sambhare\SegmentationFinal\doog.asv
sambhare\SegmentationFinal\doog.m
sambhare\SegmentationFinal\gaussian.m
sambhare\SegmentationFinal\girl.bmp
sambhare\SegmentationFinal\histproc.m
sambhare\SegmentationFinal\main.asv
sambhare\SegmentationFinal\main.m
sambhare\SegmentationFinal\pca.m
sambhare\SegmentationFinal\postproc.m
sambhare\SegmentationFinal\preprocfast.m
sambhare\SegmentationFinal\rescalegray.m
sambhare\SegmentationFinal
sambhare

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