首页> 美国政府科技报告 >Approche Stochastique de la Segmentation des Images: Un Modele de Coopertion Entre les Primitives de Regions et de Frontieres (Stochastic Approach of Image Segmentation: A Model of Cooperation Between Region Primitives and Boundar
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Approche Stochastique de la Segmentation des Images: Un Modele de Coopertion Entre les Primitives de Regions et de Frontieres (Stochastic Approach of Image Segmentation: A Model of Cooperation Between Region Primitives and Boundar

机译:approche stochastique de la segmentation des Images:Un modele de Coopertion Entre les primitives de Regions et de Frontieres(图像分割的随机方法:区域基元与边界之间的合作模型)

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摘要

An image segmentation method based on stochastic labeling is presented. The iterative stochastic approach allows the simultaneous treatment of the classical frontier and region models in a single process. Each point is assigned at its labeling vector level region type and frontier type data. The presented image examples confirm the efficacity of the method.

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