The two-dimensional double-entropy threshold based on the parallel genetic simulated annealing algorithms

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• 作者：Lang He ; Xiaxia Yu ; ^{243840949@qq.com" class="auth_mail" title="E-mail the corresponding author} ; Zhangcan Huang ; Ahmed Mahgoub Ahmed Talab
• 关键词：Two-dimensional entropy ; Simulated annealing ; Parallel genetic algorithm ; Double threshold ; Image segmentation
• 刊名：Optik - International Journal for Light and Electron Optics
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：127
• 期：1
• 页码：96-101
• 全文大小：661 K

文摘

In this paper, aiming at solving the problem arising from the application of the two-dimensional entropy method in double threshold segmentation, which is time-consuming and highly complex, the author introduces the parallel genetic simulated annealing algorithm to optimize it. Besides, the author structures parallel genetic simulated annealing algorithm to search for a two-dimensional maximum entropy value of the optimal threshold. This optimized algorithm shortens the calculation time, accelerates the speed of obtaining the optimal threshold and improves the efficiency of image segmentation.