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基于二维熵的人工鱼群材料图像分割方法
引用本文:丁贤云,朱煜.基于二维熵的人工鱼群材料图像分割方法[J].激光与红外,2010,40(2):210-214.
作者姓名:丁贤云  朱煜
作者单位:华东理工大学信息科学与工程学院,上海,200237
基金项目:国家自然科学基金(No.50803016);;华东理工大学青年骨干教师项目(No.0156101)资助
摘    要:阈值法是图像分割中的重要方法,并在图像处理中得到了广泛的应用。针对电子扫描显微镜(SEM)摄取的纤维材料图像的自身特性,在预处理的基础上,提出了一种基于二维灰度直方图的人工鱼群图像分割方法。二维直方图的阈值的选取,是一个求全局最优的优化问题,本文将人工鱼群的算法应用于图像分割中,利用人工鱼群算法寻求二维熵的最优值,在实验中,人工鱼群算法收敛速度快,结果稳定,取得了理想的效果。

关 键 词:SEM材料  图像分割  二维熵  人工鱼群  

Segmentation for sem image based on two-dimensional entropy and artificial fish swarm algorithm
DING Xian-yun,ZHU Yu.Segmentation for sem image based on two-dimensional entropy and artificial fish swarm algorithm[J].Laser & Infrared,2010,40(2):210-214.
Authors:DING Xian-yun  ZHU Yu
Affiliation:School of Information Science and Engineering;East China University of Science and Technology;Shanghai 200237;China
Abstract:Thresholding is an important method of image segmentation and is extensively used in image processing for many applications.The fibrous material image captured from scanning electronic microscopy(SEM)shows the porosity surface structure characters of the material.To some extent,quantity analysis of material image is necessary for material study.In the paper,a method of image segmentation by artificial fish swarm algorithm based on two-dimensional gray histogram is presented after pretreatment.According to t...
Keywords:SEM material image  image segmentation  two-dimensional entropy  artificial fish swarm algorithm  
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