A system for computerized classification of color textured perthite images

被引：2
|
作者：
Cohen, B [1 ]
Dinstein, IH [1 ]
Eyal, M [1 ]
机构：
[1] BEN GURION UNIV NEGEV,DEPT GEOL,IL-84105 BEER SHEVA,ISRAEL
来源：
PATTERN RECOGNITION | 1997年 / 30卷 / 09期
关键词：
computer vision; shape analysis; color texture analysis; relaxation; perthite crystals;
D O I：
10.1016/S0031-3203(96)00171-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A fast, reliable, and objective computerized system for classification of color textured perthite images is proposed. In order to locate a crystal's borders, color and texture features are combined in a pixel classification segmentation operation, followed by probabilistic relaxation. Once a binary image is extracted, noise is suppressed using mathematical morphology. An operator based on vertical-horizontal run length ratios is used in order to identify and separate vein elements. Joint patch elements are disconnected using an iterative patch core locating procedure. Based on geometrical properties, the texture element's distribution is computed. Experimental results are compared to manual classification. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.
引用
收藏
页码：1533 / 1545
页数：13
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