Volume 7, Issue 4
Image Selective Segmentation Under Geometrical Constraints Using an Active Contour Approach

Noor Badshah & Ke Chen

Commun. Comput. Phys., 7 (2010), pp. 759-778.

Published online: 2010-07

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  • Abstract

In this paper we propose a new model for segmentation of an image under some geometrical constraints in order to detect special regions of interest. Our work is based on the recent work by Gout et al. [Numer. Algorithms, 39 (2005), pp. 155-173 and 48 (2008), pp. 105-133] using geodesic active contours models, by combining it with the idea of a piecewise constant Mumford-Shah model as with the non-selective Chan-Vese segmentation. Numerical tests show that our method is more robust than the previous works.

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@Article{CiCP-7-759, author = {Noor Badshah and Ke Chen}, title = {Image Selective Segmentation Under Geometrical Constraints Using an Active Contour Approach}, journal = {Communications in Computational Physics}, year = {2010}, volume = {7}, number = {4}, pages = {759--778}, abstract = {

In this paper we propose a new model for segmentation of an image under some geometrical constraints in order to detect special regions of interest. Our work is based on the recent work by Gout et al. [Numer. Algorithms, 39 (2005), pp. 155-173 and 48 (2008), pp. 105-133] using geodesic active contours models, by combining it with the idea of a piecewise constant Mumford-Shah model as with the non-selective Chan-Vese segmentation. Numerical tests show that our method is more robust than the previous works.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.2009.09.026}, url = {http://global-sci.org/intro/article_detail/cicp/7653.html} }
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