IEEE Trans Image Process - Automatic image segmentation by dynamic region merging.

Tópicos

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Resumo

This paper addresses the automatic image segmentation problem in a region merging style. With an initially oversegmented image, in which many regions (or superpixels) with homogeneous color are detected, an image segmentation is performed by iteratively merging the regions according to a statistical test. There are two essential issues in a region-merging algorithm: order of merging and the stopping criterion. In the proposed algorithm, these two issues are solved by a novel predicate, which is defined by the sequential probability ratio test and the minimal cost criterion. Starting from an oversegmented image, neighboring regions are progressively merged if there is an evidence for merging according to this predicate. We show that the merging order follows the principle of dynamic programming. This formulates the image segmentation as an inference problem, where the final segmentation is established based on the observed image. We also prove that the produced segmentation satisfies certain global properties. In addition, a faster algorithm is developed to accelerate the region-merging process, which maintains a nearest neighbor graph in each iteration. Experiments on real natural images are conducted to demonstrate the performance of the proposed dynamic region-merging algorithm.

Resumo Limpo

paper address automat imag segment problem region merg style initi overseg imag mani region superpixel homogen color detect imag segment perform iter merg region accord statist test two essenti issu regionmerg algorithm order merg stop criterion propos algorithm two issu solv novel predic defin sequenti probabl ratio test minim cost criterion start overseg imag neighbor region progress merg evid merg accord predic show merg order follow principl dynam program formul imag segment infer problem final segment establish base observ imag also prove produc segment satisfi certain global properti addit faster algorithm develop acceler regionmerg process maintain nearest neighbor graph iter experi real natur imag conduct demonstr perform propos dynam regionmerg algorithm

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