文件名称:Feature Extraction and Gabor Filtering_C+Matlab.ra

介绍说明--下载内容均来自于网络,请自行研究使用

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 application

demonstrates 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 paper

included in the subdirectory.-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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下载文件列表

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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