A fast method to determine co-occurrence texture features

被引：70

作者：

Clausi, DA ^{[1
]}

Jernigan, ME

机构：

[1] Univ Calgary, Dept Geomant Engn, Calgary, AB T3C 351, Canada

[2] Univ Waterloo, Dept Syst Design Engn, Calgary, AB N2L 3G1, Canada

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1998年 / 36卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

10.1109/36.655338

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A critical shortcoming of determining texture features derived from grey-level co-occurrence matrices (GLCM's) is the excessive computational burden, This paper describes the implementation of a linked-list algorithm to determine co-occurrence texture features far more efficiently. Behavior of common co-occurrence texture features across difference grey level quantizations is investigated.

引用

页码：298 / 300

页数：3

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