IEEE Trans Image Process - Including the Size of Regions in Image Segmentation by Region-Based Graph.

Tópicos

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Resumo

Applying a fast over-segmentation algorithm to image and working on a region-based graph (instead of the pixel-based graph) is an efficient approach to reduce the computational complexity of graph-based image segmentation methods. Nevertheless, some undesirable effects may arise if the conventional cost functions, such as Ncut, AverageCut, and MinCut, are employed for partitioning the region-based graph. This is because these cost functions are generally tailored to pixel-based graphs. In order to resolve this problem, we first introduce a new class of cost functions (containing Ncut and AverageCut) for graph partitioning whose corresponding suboptimal solution can be efficiently computed by solving a generalized eigenvalue problem. Then, among these cost functions, we propose one that considers the size of regions in the partitioning procedure. By simulation, the performance of the proposed cost function is quantitatively compared with that of the Ncut and AverageCut.

Resumo Limpo

appli fast oversegment algorithm imag work regionbas graph instead pixelbas graph effici approach reduc comput complex graphbas imag segment method nevertheless undesir effect may aris convent cost function ncut averagecut mincut employ partit regionbas graph cost function general tailor pixelbas graph order resolv problem first introduc new class cost function contain ncut averagecut graph partit whose correspond suboptim solut can effici comput solv general eigenvalu problem among cost function propos one consid size region partit procedur simul perform propos cost function quantit compar ncut averagecut

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