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Image Segmentation Based on Differential Evolution and 2-D Entropy
Author(s): 
Pages: 58-66
Year: Issue:  1
Journal: Journal of Applied Sciences

Keyword:  differential evolution algorithmimage segmentationthreshold2-D entropy;
Abstract: 二维熵图像分割方法利用图像的局部空间信息,分割结果优于一维熵分割法,但计算效率较低.遗传算法和粒子群算法等最优化算法能提高二维熵图像分割方法的效率,却不能保证获得全局最优阈值.为此,提出一种基于差分进化算法的二维熵图像阈值分割法,用局部搜索策略提高搜索最优阈值的精度.实验表明,所提出的方法有良好的鲁棒性,能保证获得最优闽值.与基本的二维熵图像分割法相比,分割速度有很大的提高.
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