Authors:
Mohamed Amine Mezghich
;
Slim M'hiri
;
Malek Sellami
and
Faouzi Ghorbel
Affiliation:
University of Manouba 2010, Tunisia
Keyword(s):
Active Contours, Shape Prior, Phase Correlation, Rigid Transformation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Cardiovascular Imaging and Cardiography
;
Cardiovascular Technologies
;
Computer Vision, Visualization and Computer Graphics
;
Health Engineering and Technology Applications
;
Image Understanding
;
Medical Imaging
;
Object Recognition
;
Pattern Recognition
;
Shape Representation
;
Signal Processing
;
Software Engineering
Abstract:
In this paper, we intend to present new method to incorporate geometric shape prior into region-based active contours in order to improve its robustness to noise and occlusions. The proposed shape prior is defined after the registration of binary images associated with level set functions of the active contour and a reference shape. The used registration method is based on phase correlation. This representation makes it possible to manage several objects simultaneously. Experimental results show the ability of the proposed geometric shape prior to constrain an evolving curve towards a target shape. We highlight, on synthetic and real images, the benefit of the method on segmentation results in presence of partial occlusions, low contrast and noise.