Image segmentation by histogram thresholding using hierarchical cluster analysis

被引：147

作者：

Arifin, Agus Zainal

Asano, Akira

机构：

[1] Hiroshima Univ, Grad Sch Engn, Hiroshima 7398527, Japan

[2] Hiroshima Univ, Fac Integrated Arts & Sci, Div Math & Informat Sci, Higashihiroshima 7398521, Japan

来源：

PATTERN RECOGNITION LETTERS | 2006年 / 27卷 / 13期

关键词：

image thresholding; clustering; inter-class variance; intra-class variance;

D O I：

10.1016/j.patrec.2006.02.022

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 proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class variance of the clusters to be merged and the intra-class variance of the new merged cluster. Experiments on practical images illustrate the effectiveness of the new method. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：1515 / 1521

页数：7

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