IEEE Trans Image Process - Multi-class multi-scale series contextual model for image segmentation.

Tópicos

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Resumo

Contextual information has been widely used as a rich source of information to segment multiple objects in an image. A contextual model uses the relationships between the objects in a scene to facilitate object detection and segmentation. Using contextual information from different objects in an effective way for object segmentation, however, remains a difficult problem. In this paper, we introduce a novel framework, called multiclass multiscale (MCMS) series contextual model, which uses contextual information from multiple objects and at different scales for learning discriminative models in a supervised setting. The MCMS model incorporates cross-object and inter-object information into one probabilistic framework and thus is able to capture geometrical relationships and dependencies among multiple objects in addition to local information from each single object present in an image. We demonstrate that our MCMS model improves object segmentation performance in electron microscopy images and provides a coherent segmentation of multiple objects. Through speeding up the segmentation process, the proposed method will allow neurobiologists to move beyond individual specimens and analyze populations paving the way for understanding neurodegenerative diseases at the microscopic level.

Resumo Limpo

contextu inform wide use rich sourc inform segment multipl object imag contextu model use relationship object scene facilit object detect segment use contextu inform differ object effect way object segment howev remain difficult problem paper introduc novel framework call multiclass multiscal mcms seri contextu model use contextu inform multipl object differ scale learn discrimin model supervis set mcms model incorpor crossobject interobject inform one probabilist framework thus abl captur geometr relationship depend among multipl object addit local inform singl object present imag demonstr mcms model improv object segment perform electron microscopi imag provid coher segment multipl object speed segment process propos method will allow neurobiologist move beyond individu specimen analyz popul pave way understand neurodegen diseas microscop level

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