Level Set Segmentation Depending on Adaptive Local Information

摘要：

A robust and efficient level set segmentation method using the energy in a reasonable range of segmentation dependent information (RSDI) is presented. A feature describing edges illegibility, called the edges blur descriptor, is first defined. Then it is used to compute RSDI adaptively and approximately. Some methods of segmentation dependent information localization (SDIL) utilizing a window function are discussed. The window size is determined by RSDI. We used the proposed method to improve the region-scalable fitting (RSF) method. Experiments show that it can choose RSDI effectively, and the segmentation accuracy and performance are superior to RSF method.

关键词： image segmentation level set segmentation dependent information localization

作者: Yang Tie-jun Huang Lin

作者单位: College of Information Science and Engineering Guilin University of Technology Guilin 541004, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 509-511

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）