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一种基于FCM的医学图像检索方法与实现
引用本文:宋卫华,邰晓英,巴特尔,赵杰煜. 一种基于FCM的医学图像检索方法与实现[J]. 计算机工程与应用, 2007, 43(12): 186-190
作者姓名:宋卫华  邰晓英  巴特尔  赵杰煜
作者单位:宁波大学,信息科学与工程学院,浙江,宁波,315211;内蒙古自治区医院,呼和浩特,010017
摘    要:针对医学内窥镜图像,提出两种基于模糊C-均值聚类(FCM)的特征融合算法:融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。据此,实现了一个图像检索的原型系统,依据所设计的评价实验,并对实验结果进行了比较和分析。实验表明,基于FCM的融合颜色相关图和纹理特征的特征融合算法,在基于内容的医学内窥镜图像检索中,具有相对较好的检索效果。

关 键 词:医学图像检索  内窥镜图像  模糊C均值聚类  颜色聚类  颜色相关图  纹理  灰度共生矩阵
文章编号:1002-8331(2007)12-0186-05
修稿时间:2006-11-01

Method and implement for medical image retrieval based on FCM
SONG Wei-hua,TAI Xiao-ying,BA Te-er,ZHAO Jie-yu. Method and implement for medical image retrieval based on FCM[J]. Computer Engineering and Applications, 2007, 43(12): 186-190
Authors:SONG Wei-hua  TAI Xiao-ying  BA Te-er  ZHAO Jie-yu
Abstract:This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first,using color correlogram combining with color texture;second,using color correlogram combining with color histogram. A prototype system is implemented here.Meanwhile,five experiments are designed here to evaluate the validity of the approach,and the comparison of the retrieval results show that the feature fusion algorithm based on FCM using color correlogram combining with color texture is more effective.
Keywords:medical image retrieval  endoscopic image  fuzzy c-means clustering  color clustering  color correlogram  texture  Gray Level Co-occurrence Matrix(GLCM)
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