Authors:
Q. Xue
1
;
L. Igual
2
;
A. Berenguel
2
;
M. Guerrieri
3
and
L. Garrido
2
Affiliations:
1
Universitat de Barcelona and Tongji University, Spain
;
2
Universitat de Barcelona, Spain
;
3
Universitat de Girona, Spain
Keyword(s):
Active Contours, Affine Coordinates, Mean Value Coordinates.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image and Video Analysis
;
Image and Video Coding and Compression
;
Image Formation and Preprocessing
;
Image-Based Modeling
;
Pattern Recognition
;
Segmentation and Grouping
;
Software Engineering
Abstract:
In this paper, we present a new framework for image segmentation based on parametrized active contours. The
contour and the points of the image space are parametrized using a set of reduced control points that have to
form a closed polygon in two dimensional problems and a closed surface in three dimensional problems. By
moving the control points, the active contour evolves. We use mean value coordinates as the parametrization
tool for the interface, which allows to parametrize any point of the space, inside or outside the closed polygon
or surface. Region-based energies such as the one proposed by Chan and Vese can be easily implemented in
both two and three dimensional segmentation problems. We show the usefulness of our approach with several
experiments.