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基于数学形态学的医学图像分割
引用本文:王蜀,李永宁,陈楷民,黄戈. 基于数学形态学的医学图像分割[J]. 计算机应用, 2005, 25(10): 2381-2382
作者姓名:王蜀  李永宁  陈楷民  黄戈
作者单位:四川大学,计算机学院,四川,成都,610064;四川大学,计算机学院,四川,成都,610064;四川大学,计算机学院,四川,成都,610064;四川大学,计算机学院,四川,成都,610064
摘    要:采用分水岭算法对医学图像进行分割,并针对其容易产生过分割的缺点,作了两点改进:首先对原始图像进行自适应加权的多尺度形态滤波,然后引入浮点活动图像作为分水岭算法的输入。实验表明,该方法算法简单,能有效地抑制过分割现象,得到较好的分割效果。

关 键 词:数学形态学  分水岭算法  自适应加权的多尺度形态滤波  浮点活动图像
文章编号:1001-9081(2005)10-2381-02
收稿时间:2005-04-13
修稿时间:2005-04-132005-06-22

Medical image segmentation based on Mathematical Morphology
WANG Shu,LI Yong-ning,CHEN Kai-min,Huang Ge. Medical image segmentation based on Mathematical Morphology[J]. Journal of Computer Applications, 2005, 25(10): 2381-2382
Authors:WANG Shu  LI Yong-ning  CHEN Kai-min  Huang Ge
Affiliation:School of Computer Science, Sichuan University, Chengdu Sichuan 610064, China
Abstract:In this paper, the watershed algorithm to segment medical images was introduced. The two improved methods considering the over-segmentation phenomena of watershed algorithm were presented. First, get the original image through multi-scale morphological filter with auto-adapted determinations weights, and then, introduced a floating-point active image as the input of watershed algorithm. Experiments show that the algorithm is very simple, and can restrain the over-segmentation phenomena effectively, so can obtain good results.
Keywords:mathematical morphology  watershed algorithm: multi-scale morphological filter with auto-adapted determinations weights  floating-point active image
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