Explicit Order Model for Region-based Level Set Segmentation
Wang, Lingfeng; Pan, Chunhong
2015
会议名称IEEE International Conference on Acoustics, Speech & Signal Processing
会议录名称IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
会议日期2015
会议地点South Brisbane
摘要Region-based level set methods have been widely used for image segmentation. Among them, the method based on local binary fitting (LBF) model is an efficient one. Unfortunately, LBF model is sensitive to initial contour. To overcome this disadvantage, we propose two explicit order models, i.e., the global order preserving and local order smoothness models. The global order preserving model ensures that the binary fitting values have the same order globally, while the local order smoothness model requires that these orders are smooth locally. With these two models, our segmentation results are not sensitive to initializations. Experimental results on synthetic and real images show desirable performances of our method, as compared with the state-of-the-art approaches.
关键词Image Segmentation Level Set Region-based Cv Model Lbf Model
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/10763
专题模式识别国家重点实验室_先进数据分析与学习
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Wang, Lingfeng,Pan, Chunhong. Explicit Order Model for Region-based Level Set Segmentation[C],2015.
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