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Region-based Image Segmentation with Local Signed Difference Energy, Pattern Recognition Letters, 2013
the abstract is Abstract:
Intensity inhomogeneities often cause considerable difficulties in image segmentation. In this work, a new region-based level set model that embeds the image local information is proposed to tackle this problem. The local image information is described by a novel local signed difference energy, which possesses both local-separability and global-consistency. This energy term is then integrated into an objective energy functional, which is minimized via a level set evolution process. Extensive experiments are performed to evaluate the proposed approach, showing significant improvements in both accuracy and efficiency, as compared with the state-of-the-arts.
matlab
分割
图像
能量
基于
地方
区域
差分
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