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IMAGES SEGMENTATION BY USING B-SPLINE ACTIVE CONTOURS (B-SNAKE) ON THE CHAN-VESE MODE

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ا ﺔﻴﺒﻌﺸﻟا ﺔﻴﻃاﺮﻘﻤﻳﺪﻟا ﺔﻳﺮﺋاﺰﺠﻟا ﺔﻳرﻮﻬﻤﺠﻟ

REPUBLIQUE ALGERIENNE DEMOCRATIQUE ET POPULAIRE

ةرازو ﻲﻤﻠﻌﻟا ﺚﺤﺒﻟا و ﻲﻟﺎﻌﻟا ﻢﻴﻠﻌﺘﻟا

MINISTERE DE L’ENSEIGNEMENT SUPERIEUR ET DE LA RECHERCHE SCIENTIFIQUE

Conférence Internationale sur le Soudage, le CND et l’Industrie des Métaux, IC-WNDT-MI’10 Oran, 28 - 30 novembre 2010. Site web : http://www.csc.dz/wcndt-10

Université Saad Dahlab Blida Centre de Recherche Scientifique et Technique en Soudage et Contrôle.

CSC, BP 64 Chéraga, Alger. Tél. /Fax 021 37 18 21 Université Hadj Lakhdar

Batna

IMAGES SEGMENTATION BY USING B-SPLINE ACTIVE CONTOURS (B-SNAKE) ON THE CHAN-VESE MODE

Y. Boutichea, A. Bessekrib

aImage and Signal Processing Laboratory, Welding and Control Research Center, Route de Dely Brahim BP. 64 Cheraga, Algiers ALGERIA

bSaad Dahlab University Blida ALGERIA Boutiche_y@yahoo.fr

Anissabessekri@yahoo.fr

Abstract :

In this work, we propose an active contour model based on the Chan-Vese functional. The total energy to be minimised is described essentially by the averages intensities inside and outside the curve. This model can detect object whose boundaries are not defined by gradient, it's a matter of the active contour model biased regions.

For increasing the performance of segmentation, we are introducing the B-spline function to describe the active contour. The experiments reported in the paper, performed on synthetic noise images confirm the adequacy and good performance of the approach. We close this paper with a conclusion.

Keywords — Edge detection, active contour, Chan end Vese functional, B-spline.

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