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An Implicit Region-Based Deformable Model with Local Segmentation Applied To Weld Defects Extraction

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World Academy of Science, Engineering and Technology 71 2012

An Implicit Region-Based Deformable Model with Local Segmentation Applied To Weld

Defects Extraction

Y. Boutiche1, N. Ramou1, and M. Ben Gharsallah2

1Welding and NDT Research Centre (C.S.C.), Image and Signal Processing Laboratory, Algiers, Algeria

2Research CEREP Unit, ESSTT, 5 Av. Taha Hussein, 1008, Tunis, Tunisie.

Abstract

This paper is devoted to present and discuss a model that allows a local segmentation by using statistical information of a given image. It is based on Chan-Vese model, curve evolution, partial differential equations and binary level sets method. The proposed model uses the piecewise constant approximation of Chan-Vese model to compute Signed Pressure Force (SPF) function, this one attracts the curve to the true object(s)’s boundaries.

The implemented model is used to extract weld defects from weld radiographic images in the aim to calculate the perimeter and surfaces of those weld defects;

encouraged resultants are obtained on synthetic and real radiographic images.

Keywords Active contour, Chan-Vese Model, local segmentation, weld radiographic images.

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