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一种基于视觉感知的复合医学图像分割算法
引用本文:刘再涛,魏本征,柳澄.一种基于视觉感知的复合医学图像分割算法[J].郑州大学学报(自然科学版),2011(1):57-61.
作者姓名:刘再涛  魏本征  柳澄
作者单位:[1]山东中医药大学理工学院,山东济南250355 [2]山东省医学影像研究所,山东济南250021
基金项目:山东省自然科学基金资助项目 编号ZR2009CM085; 山东省高等学校科技计划项目 编号J09LF23; 山东省中医药科技计划项目 编号2009-027
摘    要:为提高医学图像分割的视觉效果,依据人类视觉感知的分层特性,提出了一种新的复合医学图像分割方法.该方法通过提取医学图像的底层特征,利用Fuzzy-ART神经网络作为像素的分类器,对医学图像进行连续两次分割.实验结果表明,该医学图像分割方法能有效地解决局部信息与整体分布边缘淡化等相关问题,达到良好的分割视觉效果.

关 键 词:医学图像分割  视觉感知  Fuzzy-ART模型  分层分割

An Improved Medical Image Segmentation Algorithm Based on Visual Perception Model
LIU Zai-tao,WEI Ben-zheng,LIU Cheng.An Improved Medical Image Segmentation Algorithm Based on Visual Perception Model[J].Journal of Zhengzhou University (Natural Science),2011(1):57-61.
Authors:LIU Zai-tao  WEI Ben-zheng  LIU Cheng
Institution:1.College of Science and Engineering,Shandong University of Traditional Chinese Medicine,Ji'nan 250355,China;2.Shandong Provincial Medical Imaging Research Institute,Ji'nan 250021,China)
Abstract:To improve the visual effect of the medical image segmentation,an improved medical image segmentation algorithm was presented based on the visual perception delaminated characters.Based the character of medical image,the local region features were described firstly,and then the local texture feature was designed consistently with visual perception of different image region.The Fuzzy-ART neural network as pixels classifier was used to segment the medical image based on the layer feature functions.The experiment results showed that this method effectively solved the local information and distribution of image local features,and achieved a good segmentation and visual effect.
Keywords:medical image segmentation  visual perception  Fuzzy-ART model  layer segmentation
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