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International Journal of Biomedical Imaging
Volume 2008 (2008), Article ID 759354, 11 pages
http://dx.doi.org/10.1155/2008/759354
Research Article

Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images

1Department of Computer Science, University of Pau and Pays de l'Adour, 64012 PauCedex, France
2Department of Electrical & Electronic Engineering, University of Mauritius, Reduit, Mauritius

Received 21 December 2007; Revised 3 June 2008; Accepted 7 August 2008

Academic Editor: Seung Lee

Copyright © 2008 B. Dhalila S. Y. Khoodoruth et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We propose to segment two-dimensional CT scans traumatic brain injuries with various methods. These methods are hybrid, feature extraction, level sets, region growing, and watershed which are analysed based upon their parametric and nonparametric arguments. The pixel intensities, gradient magnitude, affinity map, and catchment basins of these methods are validated based upon various constraints evaluations. In this article, we also develop a new methodology for a computational pipeline that uses bilateral filtering, diffusion properties, watershed, and filtering with mathematical morphology operators for the contour extraction of the lesion in the feature available based mainly on the gradient function. The evaluations of the classification of these lesions are very briefly outlined in this context and are being undertaken by pattern recognition in another paper work.