Image Segmentation Using Entropy and Uniformity Measure

被引：0

作者：

Yang, Dongzhi ^{[1
]}

Wang, Feng ^{[1
]}

机构：

[1] Capital Normal Univ, Sch Math Sci, Beijing 100048, Peoples R China

来源：

PROCEEDINGS OF 2010 INTERNATIONAL SYMPOSIUM ON IMAGE ANALYSIS AND SIGNAL PROCESSING | 2010年

关键词：

Renyi's entropy; parameter; optimal threshold value; uniformity measure; maximum; image segmentation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A threshold segmentation algorithm based on Renyi's entropy is presented. A new formula of the optimal threshold value with a simple expression form is gained. Renyi's entropy has an adjustable parameter, which makes the processing results have uncertainty. Making use of the uniform measure and the maximum distance between classes, the optimal threshold value is defined. After the selection of the optimal threshold values, images with three peaks are well segmented.

引用

页码：94 / 96

页数：3

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