Medical Image Segmentation Based on Gabor Filters and SOFM

摘要：

In this paper,presents a texture segmentation algorithm based on Gabor Filters and the Self-Organizing Feature Map.By filtering an input image with Gabor Filters tuned to the dominant frequency and orientation component of the textures,it is possible to locate each texture.The magnitude of the channel output should be large when the texture exhibits the frequency and orientation characteristics to which the channels Gabor Filter is tuned,vice versa.There are weak intraclass dispersion and strong interclass dispersion in the filtered image,and the issue of texture segmentation is translated into that of traditional image segmentation.Finally,the pretreatment image data was clustered by combining Self-Organizing Feature Mapping network with clustering function.

关键词： Gabor Filters Self-Organizing Feature Map medical image segmentation

作者: Yao Wang Wenbo Xu Jun Sun

作者单位: School of Information Technology,Southern Yangtze University,Wuxi,214122,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 295-299

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）