An Improved Algorithm Based on the GVF-Snake for Effective Concavity Edge Detection

• 作者: Lei Li Mengmeng Zhang Peirui Bai Qianqian Li
• 来源期刊: 软件工程与应用(英文)
• 学科: 工学
• 关键词: Image SEGMENTATION the GVF-SNAKE Boundary Concavities BALLOON FORCE Tangential FORCE
• 年，卷（期）: 2013,（4）
• 页码范围: 174-178
• 页数: 5页
• 分类号: TP39

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.