BLOOD VESSEL EXTRACTION BASED ON MUMFORD SHAH MODEL AND SKELETONIZATION

摘要：

Locating blood vessels in a retinal image has found wide applications in medical image for diagnosis of diseases.However, due to the presence of noise and uneven distributed image intensity, this is still a challenging task. In this paper,we introduce a new method based on the features that the blood vessel must be a thin concave connected region. Based on Mumford-Shah (MS) model and skeletonization method,the proposed method is able to extract many small branches of vessels. Experimental results show that the proposed method outperforms existing methods and able to yield good results in real world data sets.

关键词： Blood vessels segmentation retinal imaging Mumford-Shah model Skeletonization

作者: BENSON S.Y.LAM HONG YAN

作者单位: Department of Electronic Engineering, City University of Hong Kong Tat Chee Avenue, Kowloon, Hong Ko Department of Electronic Engineering, City University of Hong Kong Tat Chee Avenue, Kowloon, Hong Ko

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 4227-4232

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）