An Improved GVF Snake Model and its Application to Linear Feature Extraction from SAR Images

摘要：

In this paper, an improved GVF snake model that allows controllable snakes is proposed. Two kinds of extern constraint forces are exploited in the model. The first one can pin specified points on the snake and determine the basic shape of a snake. The second one avoids generating ears during curve evolution. It ensures that the curves are smooth and wont grow in a wrong direction. The improved snakes are employed to close gaps in linear feature extraction since they can fixes the connection points during the deformation and provide smooth linking curves rather than straight lines. The experimental results of ridge (and ravine) extraction and road extraction from real SAR images increase the correctness and quality of extracted results.

关键词： snake gradient vector flow (GVF) sythetic apeture radar (SAR) linear feature extraction

作者: Xin-ping Deng Chu He Hong Sun

作者单位: Signal Processing Laboratory, Electronic Information School, Wuhan University Wuhan, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2063-2066

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）