CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Active Contour Driven by Time-Varying Fitting Energy
Wang LF(汪凌峰); Lingfeng Wang
2016
Conference NameICIP
Source PublicationICIP
Conference Date2016
Conference PlacePhoenix, Arizona, USA
AbstractIn this paper, we propose a novel region-based active contour model for images with intensity inhomogeneity. We define an energy functional with both local and global intensity fitting term. A time-varying function is introduced to balance the local and the global intensity term, which combines the advantages of these two terms naturally. Based on this time-varying function, the proposed model possesses both local separability and global consistency. Specifically, local separability helps to tackle the intensity inhomogeneous problem, while global consistency makes the segmentation result insensitive to the initialization. The proposed model is finally incorporated into a level set formulation. Experimental results on both synthetic and real images demonstrate the superior performance of our model.
KeywordImage Segmentation Level Set Active Contour Local Binary Fitting Cv Model
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12139
Collection模式识别国家重点实验室_先进数据分析与学习
Corresponding AuthorLingfeng Wang
Recommended Citation
GB/T 7714
Wang LF,Lingfeng Wang. Active Contour Driven by Time-Varying Fitting Energy[C],2016.
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