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基于模糊粗糙集、数学形态学和分形理论的医学图像分类研究
引用本文:韩培友,郝重阳,张先勇,樊养余. 基于模糊粗糙集、数学形态学和分形理论的医学图像分类研究[J]. 计算机应用研究, 2004, 21(2): 241-245,257
作者姓名:韩培友  郝重阳  张先勇  樊养余
作者单位:西北工业大学,电子与信息工程研究所,陕西,西安,710072
基金项目:国家重点实验室基金资助项目(51473080101)
摘    要:利用模糊粗糙集约简、数学形态学和分形理论,根据头发灼烧体图像的颜色、多种微量元素的含量以及它的纹理特征和几何特征,提出了一种新的基于模糊粗糙集的医学图像边界提取新方法。

关 键 词:模糊粗糙集 数学形态学 图像分类
文章编号:1001-3695(2004)02-0241-05

Investigation on the Feature Extraction from Medical Images and Its Classification Based on Fuzzy Rough Set Mathematical Morphology and Fractal Theory
HAN Pei-you,HAO Chong-yang,ZHANG Xian-yong,FAN Yang-yu. Investigation on the Feature Extraction from Medical Images and Its Classification Based on Fuzzy Rough Set Mathematical Morphology and Fractal Theory[J]. Application Research of Computers, 2004, 21(2): 241-245,257
Authors:HAN Pei-you  HAO Chong-yang  ZHANG Xian-yong  FAN Yang-yu
Abstract:This article,based on the fractal theory, mathematical morphology, rough fuzzy sets, present a new method used in character selection and classification in medical image, by analyzing the color of image hair ashes, various micro element as well as its texture and geometry characteristics.
Keywords:Fuzzy Rough Set  Mathematical Morphology  Classification of Image
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