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灰关联空间中基于最大熵阈值的医学彩色图像分割算法
引用本文:齐敏,邓林,弋丹,宣杭,郝重阳.灰关联空间中基于最大熵阈值的医学彩色图像分割算法[J].中国科学技术大学学报,2007,37(12):1543-1545.
作者姓名:齐敏  邓林  弋丹  宣杭  郝重阳
作者单位:西北工业大学生物医学工程研究所,西北工业大学虚拟现实研究中心,陕西西安,710072
基金项目:高等学校博士学科点专项科研项目
摘    要:将灰关联理论引入彩色图像分割领域,提出一种在灰关联空间中面向医学彩色图像的最大熵阈值分割算法.通过对分辨系数和色彩影响因子的选取,避免了传统彩色图像分割中三维色彩信息的丢失现象,并使算法具备了一定的抗噪性能,分割的精度和实时性也获得了较大提高.实验结果证明了算法的有效性.

关 键 词:彩色图像分割  灰关联分析  色彩灰关联度图像  最大熵阈值
文章编号:0253-2778(2007)12-1543-04
收稿时间:2007-07-20
修稿时间:2007-10-16

A medical color image segmentation algorithm based on maximum entropy threshold in the grey space
QI Min,DENG Lin,YI Dan,XUAN Hang,HAO Chong-yang.A medical color image segmentation algorithm based on maximum entropy threshold in the grey space[J].Journal of University of Science and Technology of China,2007,37(12):1543-1545.
Authors:QI Min  DENG Lin  YI Dan  XUAN Hang  HAO Chong-yang
Abstract:The theory of grey relation analysis was used to segment color images in a creative way.An algorithm for medical color image segmentation based on maximum entropy threshold and the concept of color grey relational degree images was proposed.The method prevented the problem of color information loss existent in the previous color image segmentation algorithms and some anti-noise capability was obtained by choosing the resolution coefficient and color effect gene.At the same time,the accuracy was increased and runtime was shortened.The experimental results indicate the effectiveness of the algorithm.
Keywords:color image segmentation  grey relation analysis  color grey relational degree image  maximum entropy threshold
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