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Multilevel maximum entropy threshold selection based on quantum particle swarm optimization

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2 Author(s)
Yong Zhao ; Key Laboratory of Highway Construction Technology and Equipment of Ministry of Education, School of Engineering Machinery, Chang'an University, Xi'an Shaanxi, China ; Yong-Biao Hu

The maximum entropy threshold has been proven as an efficient method in image segmentation for bilevel thresholding. However, this method becomes very time-consuming when extended to multilevel threshold problem. To solve the problem, a multilevel maximum entropy threshold method based on quantum particle swarm optimization is proposed. The experimental results demonstrate the success of the proposed image thresholding method, as compared with ES-Kapur method and GA-Kapur method.

Published in:

Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on

Date of Conference:

17-19 Sept. 2010