TEXTURE DESCRIPTORS BASED ON COOCCURRENCE MATRICES

被引：157
作者：
GOTLIEB, CC
KREYSZIG, HE
机构：
[1] Univ of Toronto, Canada
来源：
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING | 1990年 / 51卷 / 01期
关键词：
Computer Vision - Mathematical Models - Pattern Recognition - Statistical Methods;
D O I：
10.1016/S0734-189X(05)80063-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Focuses on the problem of texture classification using statistical descriptors based on co-occurrence matrices. The derivation of a general model for analysis and interpretation of experimental results in texture analysis is presented. Six representative classifiers; give a systematic study of the discrimination power of all 63 combinations of these classifiers on 13 samples of Brodatz textures. -after Authors
引用
收藏
页码：70 / 86
页数：17
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