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医学超声图像的特征提取方法初探
引用本文:陈刚,冯登超,吴新颖,杜文雅,肖楷乐. 医学超声图像的特征提取方法初探[J]. 北华航天工业学院学报, 2012, 22(4): 1-3
作者姓名:陈刚  冯登超  吴新颖  杜文雅  肖楷乐
作者单位:1. 北华航天工业学院电子工程系,河北廊坊,065000
2. 太原科技大学电子信息学院,山西太原,030024
基金项目:基金项目:河北省自然科学基金项目,河北省教育厅青年基金项目,北华航天工业学院博士基金项目
摘    要:本文在分析了医学超声图像特殊性的基础上,构建了基于灰度共生矩阵的四个纹理特征描述算子,对正常肝和非正常肝的超声图像进行了特征提取。MATLAB仿真实验结果验证了该算法的有效性。

关 键 词:灰度共生矩阵  超声图像  纹理  特征提取

A Study on the Feature Extraction Algorithm of Medical Ultrasound Image
CHEN Gang,FENG Deng-chao,WU Xin-ying,DU Wenya,XIAO Kai-le. A Study on the Feature Extraction Algorithm of Medical Ultrasound Image[J]. Journal of North China Institute of Aerospace Engineering, 2012, 22(4): 1-3
Authors:CHEN Gang  FENG Deng-chao  WU Xin-ying  DU Wenya  XIAO Kai-le
Affiliation:1(1.Electronics Engineering Department,North China Institute of Aerospace Engineering,Langfang 065000,China;2.Institute of Electronic Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)
Abstract:In the paper,the particularity of medical ultrasound image was analyzed and four texture feature operators were constructed based on gray leve co-occurrence matrix.Accordingly,the ultrasound image feature extraction of normal and non-normal liver were executed.Finally,the simulation experiment under the envirnoment of Matlab was carried on and verified the validity of the above algorithm.
Keywords:gray leve co-occurrence matrix  ultrasound image  texture  feature extraction
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