A weighted harmonic mean Renyi entropy thresholding method with parameter selection

被引：0

作者：

机构：

[1] College of Science, Henan Agricultural University

来源：

Wu, L. (wll-2@tom.com) | 1600年 / Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States卷 / 09期

关键词：

Harmonic mean; Hresholding segmentation; Parameter selection; Renyi entropy;

D O I：

10.12733/jcis6503

中图分类号：

学科分类号：

摘要：

A harmonic mean Renyi entropy threshold method is proposed based on the thought that the maximum entropy threshold method searches the optimal threshold of the image by maximizing the arithmetical average Renyi entropy of the object and the background. To improve the performance of the proposed method, a weighted harmonic mean threshold method with a self-adaptive weighting parameter method is proposed. We use the uniformity measure, an image segmentation valuation criteria, and particle swarm optimization algorithm to search for the weighting parameter in its searching space. Experimental results show that the proposed method gets better segmentation result than the maximum Renyi entropy thresholding method. © 2013 by Binary Information Press.

引用

页码：5013 / 5022

页数：9

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