An Improved GVF Snake Based on Multi-scale Image Analysis

摘要：

Gradient Vector Flow (GVF) Snake has been used widely in applications of image analysis and computer vision. But in the practice of application, the present models often subject to the influence of noises and fake edges. Based on the multi-scale image analysis, the improved gradient vector flow(GVF) is introduced to overcome these difficulties by including the boundary information in the external force. Experiments prove that the new model limits the influence of false edge and noise disturbance and obtains desired segmentation results.

关键词： Gradient Vector Flow Multi-scale image Image segmentation

作者: Zhang Xuefei

作者单位: College of Information, Linyi Normal University, Shandong, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 1092-1095

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）