文章基本信息

标题：An Improved Algorithm Based on the GVF-Snake for Effective Concavity Edge Detection
本地全文：下载
作者：Mengmeng Zhang ; Qianqian Li ; Lei Li 等
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2013
卷号：6
期号：4
页码：174-178
DOI：10.4236/jsea.2013.64022
出版社：Scientific Research Publishing
摘要：Image segmentation is an important research area in Computer Vision and the GVF-snake is an effective segmentation algorithm presented in recent years. Traditional GVF-snake algorithm has a large capture range and can deal with boundary concavities. However, when interesting object has deep concavities, traditional GVF-snake algorithm can’t converge to true boundaries exactly. In this paper, a novel improved scheme was proposed based on the GVF-snake. The central idea is introduce dynamic balloon force and tangential force to strengthen the static GVF force. Experimental results of synthetic image and real image all demonstrated that the improved algorithm can capture boundary concavities better and detect complex edges more accurately.
关键词：Image Segmentation; the GVF-Snake; Boundary Concavities; Balloon Force; Tangential Force