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Feature Extraction and Gabor Filtering_C+Matlab.ra

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  • Update : 2012-11-26
  • Size : 944kb
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  • Author :杨愚根
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Introduction - If you have any usage issues, please Google them yourself
Garbor filter is famous for its approximation to the characteristic of Cortex in human vision system. The state-of-the-arts advancement in computer vision applicationdemonstrates the success and promissing of this technique.This directory contains the codes for Gabor filtering and texture feature extraction . The strategy of constructing the Gabor filter bank is based on the accompanied paperincluded in the subdirectory.
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Feature Extraction and Gabor Filtering(C+Matlab)
..................................................\extractName.m
..................................................\extract_brodatz.m
..................................................\Fea_Gabor_brodatz.m
..................................................\gabor.c
..................................................\gabor.m
..................................................\gabor.r
..................................................\InputImageNames.m
..................................................\loadimg.m
..................................................\matrix.c
..................................................\matrix.h
..................................................\OutputTextureNames.m
..................................................\see.m
..................................................\Texture Features for Browsing and Retrieval of Image Data.pdf
..................................................\xgabor.c
..................................................\软件说明Feature Extraction and Gabor Filtering.htm
..................................................\软件说明Feature Extraction and Gabor Filtering_files
..................................................\....................................................\counter_xhtml.js

..................................................\....................................................\ie_style.js
..................................................\....................................................\img_change.js
..................................................\....................................................\t.png

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