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A Bayesian Mumford–Shah Model forRadiography ImageSegmentation

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Arabian Journal for Science and Engineering

Volume 43, Issue 12, 2018, Pages 7167-7175

A Bayesian Mumford–Shah Model for Radiography ImageSegmentation

N. Ramou, N. Chetih, M. Halimi

Abstract: This paper investigates the segmentation of radiographic images using a level set method based on a BayesianMumford–Shahmodel. The objective is to separate regions in an image that have very close arithmetic means, where a model based on thestatistical mean is not effective. Experimental results show that the proposed model can successfully separate such regions,in both synthetic images and real radiography images.

Keywords : Level set

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