FEATURE FREQUENCY MATRICES AS TEXTURE IMAGE REPRESENTATION

被引：5
作者：
SHEN, HC
BIE, CYC
机构：
[1] Department of System Design Engineering, University of Waterloo, Waterloo
来源：
PATTERN RECOGNITION LETTERS | 1992年 / 13卷 / 03期
关键词：
TEXTURE; REPRESENTATION; FEATURE FREQUENCY MATRIX; CLASSIFICATION;
D O I：
10.1016/0167-8655(92)90060-D
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new representation scheme for homogeneous texture images. Each image is represented as a set of feature frequency matrices which captures the frequencies of occurrence of joint feature events. Feature events are extracted by operators defined by users and/or applications. The efficacy of the representation is demonstrated by comparing it with other methods in classification problems.
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收藏
页码：195 / 205
页数：11
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