Automatic Tongue Image Segmentation

摘要：

A novel automatic tongue image segmentation method based on graph theory is presented and implemented.Main steps include：(1)Zoom the image;(2)Choose a color model;(3)Segment the image based on graph theory;(4) Mark the target based on study theory;(5)Estimate the segmentation result using sub window and decision tree and give feedback.This method integrates some technologies such as multiple resolution,image segmentation based on graph theory,sub window,decision tree and so on.Our results show that once segmentation ratio is 71.4％and total segmentation ratio is 91.7％.From our experiment results,the method greatly improves the segmentation efficiency and accurate rate which is promising.

关键词： Image Theory Image Process Decision Tree Sub Window

作者: Hongguang Fu Weimin Wang Junhua Yang Rongqiu Wu

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 790-794

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）