A COMPARATIVE-STUDY OF MATRIX MEASURES FOR MAXIMUM-LIKELIHOOD TEXTURE CLASSIFICATION

被引：6
|
作者：
BERRY, JR [1 ]
GOUTSIAS, J [1 ]
机构：
[1] JOHNS HOPKINS UNIV, DEPT ELECT & COMP ENGN, IMAGE ANAL & COMMUN LAB, BALTIMORE, MD 21218 USA
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1991年 / 21卷 / 01期
关键词：
D O I：
10.1109/21.101156
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The performance of various matrix features in clasifying synthetic and natural textures is compared by using the features directly in a maximum likelihood texture classifier. The matrix texture features examined are the spatial gray-level dependence matrix, the neighboring gray-level dependence matrix and the neighboring spatial gray-level dependence matrix.
引用
收藏
页码：252 / 261
页数：10
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