Grey level thresholding using second-order statistics

被引：47

作者：

Deravi, F. ^{[1
]}

Pal, S. K. ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect Engn, London SW7 2BT, England

来源：

PATTERN RECOGNITION LETTERS | 1983年 / 1卷 / 5-6期

关键词：

Segmentation; threshold selection; co-occurance matrices; unimodal images;

D O I：

10.1016/0167-8655(83)90080-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This letter describes algorithms for global thresholding of grey-tone images which use second-order grey level statistics. Two measures of interaction between classes of intensity levels are defined on simple co-occurance matrices and are used to evaluate and select thresholds. One of these measures is seen to be independent of the grey level histogram and effective in selecting thresholds for images with unimodal grey level distributions. The algorithms are also used for multithresholding without modifications.

引用

页码：417 / 422

页数：6

共 6 条

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