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一种基于熵优化的区域生长图像分割方法
引用本文:张爱华.一种基于熵优化的区域生长图像分割方法[J].华中科技大学学报(自然科学版),2004,32(7):40-42.
作者姓名:张爱华
作者单位:华中科技大学,计算机科学与技术学院,湖北,武汉,430074
摘    要:提出了一种基于熵优化的结合区域生长的图像分割算法,它利用边缘检测和区域生长算法对图像进行一次预分割,然后再沿着图像中每个类的边缘试探性地调整分割,以熵的大小作为优化分割的指标逐步优化图像的分割.实验结果证明了该算法的有效性,而且比其他一些常用的灰度图像分割算法更准确.

关 键 词:图像分割  边缘  区域生长  
文章编号:1671-4512(2004)07-0040-03
修稿时间:2003年9月10日

Image segmentation of region-growing based on entropy
Zhang Aihua Zhang Aihua Doctoral Candidate, College of Computer Sci. & Tech.,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..Image segmentation of region-growing based on entropy[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2004,32(7):40-42.
Authors:Zhang Aihua Zhang Aihua Doctoral Candidate  College of Computer Sci & Tech  Huazhong Univ of Sci & Tech  Wuhan  China
Institution:Zhang Aihua Zhang Aihua Doctoral Candidate, College of Computer Sci. & Tech.,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:A method of image segmentation was presented, which made a rough segmentation by using edge detection and region growing method. The attempt to adjust the segmentation was made along the edge of each sub image based on the higher entropy of image. It was proved that the method was valid and more accurate than other common algorithms of gray image segmentation.
Keywords:image segmentation  edge  region  growing  entropy  
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