摘要
Kapur等人提出的最佳熵阈值的图像分割具有很多优点,但同时也需要大量的运算时间,限制了其实际的应用范围,且最佳熵阈值的确定是一有待解决的问题,文章将遗传算法应用于最佳熵阈值的确定中,提出了相应的算法并用于图像分割,仿真结果表明,在设定了合适的遗传算子后,遗传算法不仅可以实现正确的图像分割,并且使得分割速度大大提高。
The optimal entropy thresholding algorithm has many advantages in the use of the image segmentation,but it needs a lot of computational time which limits its application.In this paper,the genetic algorithm is used in the estab-lishment of the optimal entropy threshold and a corresponding approach is presented in the use of image segmentation.The experimental results show that the genetic algorithm not only realizes the right image segmentation but also im-proves the segmental speed greatly after the proper genetic operators being established.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第12期103-105,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助课题(编号:60133010
69831040
60073053)
关键词
遗传算法
熵
阈值
图像分割
Genetic algorithm,Entropy,Threshold,Image segmentation
