A Bayesian Mumford–Shah Model for Radiography Image Segmentation

A Bayesian Level Set
Research Article - Computer Engineering and Computer Science
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Abstract

This paper investigates the segmentation of radiographic images using a level set method based on a Bayesian Mumford–Shah model. The objective is to separate regions in an image that have very close arithmetic means, where a model based on the statistical 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 Bayesian Mumford–Shah GDXray Welding defect 
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Copyright information

© King Fahd University of Petroleum & Minerals 2017

Authors and Affiliations

  1. 1.Research Center in Industrial Technologies CRTICheraga, AlgiersAlgeria

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