APPLICATION OF SNAKE MODEL IN MEDICAL IMAGE SEGMENTATION

摘要：

Image Segmentation based on Snake model is one of the focuses in the field of image processing in recent years.The Snake model integrates the characteristics of the lower layer of images and the prior knowledge of the upper layer.It can effectively implement medical image segmentation for unique medical images using the restriction of the lower layer of images to the prior knowledge of the upper layer.In this paper,basic principles of Snake model, drawbacks existing of Snake model,improved algorithms and evolving models based on Snake model are studied in depth.Additionally, applied methods of Snake model in medical image segmentation,such as cardiac image segmentation,cell image segmentation,brain image segmentation,vascular image segmentation and so on, are introduced.Based on the analysis of the traditional sake models defect,systematic discussion is made to improve the various revised models.A summary for the application of the snake model and its revised model in typical medical image segmentation is made.

关键词： Image Processing Medical Image Segmentation Snake Model

作者: Jianhua Liu Xinsheng WU Jianwei Wang

作者单位: North China University of Water Conservancy and Electric Power Zhengzhou 450011,P.R.China Henan Polytechnic,Zhengzhou 450011,P.R.China

会议类型: 国际会议

会议名称: 2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

会议地点: 宁波

会议语种:英文

页码: 308-311

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）