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A New Segmentation Model—Combined Mumford-Shah Model with Narrow Band
作者姓名:WangZheng  YangXin  ShiPengfei
作者单位:InstituteofImageProcessingandPatternRecognition,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China
基金项目:SupportedbytheNationalNaturalScienceFoundationofChina
摘    要:A segmentation model that combines the Mumford-Shah (M-S) model and narrow band scheme of level set is presented. The M-S model is a desirable model for image segmentation, but computationally time-consuming. This paper introduces a fast segmentation model, which combines the M-S model and narrow band scheme using new initialization method. The new initialization method is based on fastmarching method, and the computing time is O (n). In each iteration step, the new segmentation model only deals with the data in narrow band instead of the whole image. Comparing M-S model and new narrow band M-S, experiments show that the two models can obtain almost the same segmentation result, but the computing time of new narrow band M-S model is much less than M-S model.

关 键 词:Mumford-Shah模型  M-S模型  分割模型  窄带  初始化  水平集  计算机图形学
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