Self-adaptation preferences in two-dimension Renyi entropy thresholding method

doi:10.3778/j.issn.1002-8331.2010.22.006

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (22): 16-19.DOI: 10.3778/j.issn.1002-8331.2010.22.006

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Self-adaptation preferences in two-dimension Renyi entropy thresholding method

LEI Bo，FAN Jiu-lun

School of Communications and Information Engineering，Xi’an Institute of Post and Telecommunications，Xi’an 710061，China

Received:2010-04-01 Revised:2010-05-31 Online:2010-08-01 Published:2010-08-01
Contact: LEI Bo

二维Renyi熵阈值分割方法中参数的自适应选取

雷博，范九伦

西安邮电学院通信与信息工程学院，西安 710061

通讯作者: 雷博

Abstract

Abstract: To select the parameter α in two-dimension Renyi entropy image thresholding segmentation method adaptively，a new preferences method is proposed.The presented method is based on uniformity measure，an image segmentation valuation criteria，and particle swarm optimization algorithm.The experiment results show that the novel method can get the suitable parameter α and idea segmentation results.

摘要： 针对如何自适应选取二维Renyi熵阈值分割法中参数α的问题，基于一种图像分割质量评价指标——均匀性测度，利用粒子群优化搜索方法，提出了一种自适应选取参数α的方法。实验表明，所提出的方法可以有效地选取参数α，获得理想的图像分割结果。

CLC Number:

TP391.4

LEI Bo，FAN Jiu-lun. Self-adaptation preferences in two-dimension Renyi entropy thresholding method[J]. Computer Engineering and Applications, 2010, 46(22): 16-19.

雷博，范九伦. 二维Renyi熵阈值分割方法中参数的自适应选取[J]. 计算机工程与应用, 2010, 46(22): 16-19.

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Self-adaptation preferences in two-dimension Renyi entropy thresholding method

二维Renyi熵阈值分割方法中参数的自适应选取

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