Region-based image segmentation with local signed difference energy

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• 作者：Lingfeng Wang ; ^{lfwang@nlpr.ia.ac.cn} ; Huaiyu Wu ^{hywu@nlpr.ia.ac.cn} ; Chunhong Pan ^{chpan@nlpr.ia.ac.cn}
• 关键词：Image segmentation ; Level set ; Local signed difference ; Local separability ; Global consistency
• 刊名：Pattern Recognition Letters
• 出版年：2013
• 出版时间：15 April, 2013
• 年：2013
• 卷：34
• 期：6
• 页码：637-645
• 全文大小：2188 K

文摘

Intensity inhomogeneity often causes considerable difficulties in image segmentation. To tackle this problem, we propose a new region-based level set method. The proposed method considers the local image information by describing it as a novel local signed difference (LSD) energy, which possesses both local separability and global consistency. The LSD energy term is integrated into an objective energy functional, which is minimized via a level set evolution process. Extensive experiments are performed to evaluate the proposed method, showing improvements in both accuracy and efficiency, as compared with the state-of-the-art approaches.