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

被引：3
作者：
He, Lang [1 ]
Yu, Xiaxia [1 ]
Huang, Zhangcan [1 ]
Talab, Ahmed Mahgoub Ahmed [1 ]
机构：
[1] Wuhan Univ Technol, Sch Sci, Wuhan 430070, Peoples R China
来源：
OPTIK | 2016年 / 127卷 / 01期
关键词：
Two-dimensional entropy; Simulated annealing; Parallel genetic algorithm; Double threshold; Image segmentation;
D O I：
10.1016/j.ijleo.2015.09.194
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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. (C) 2015 Elsevier GmbH. All rights reserved.
引用
收藏
页码：96 / 101
页数：6
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