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

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,...

Full description

Saved in:
Bibliographic Details
Main Authors: B. Dhalila S. Y. Khoodoruth, Harry C. S. Rughooputh, Wilfrid Lefer
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2008/759354
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849410592964608000
author B. Dhalila S. Y. Khoodoruth
Harry C. S. Rughooputh
Wilfrid Lefer
author_facet B. Dhalila S. Y. Khoodoruth
Harry C. S. Rughooputh
Wilfrid Lefer
author_sort B. Dhalila S. Y. Khoodoruth
collection DOAJ
description 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.
format Article
id doaj-art-7b98bc2762574b7e8d259c3fa3c15a27
institution Kabale University
issn 1687-4188
1687-4196
language English
publishDate 2008-01-01
publisher Wiley
record_format Article
series International Journal of Biomedical Imaging
spelling doaj-art-7b98bc2762574b7e8d259c3fa3c15a272025-08-20T03:35:02ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962008-01-01200810.1155/2008/759354759354Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan ImagesB. Dhalila S. Y. Khoodoruth0Harry C. S. Rughooputh1Wilfrid Lefer2Department of Computer Science, University of Pau and Pays de l'Adour, 64012 PauCedex, FranceDepartment of Electrical & Electronic Engineering, University of Mauritius, Reduit, MauritiusDepartment of Computer Science, University of Pau and Pays de l'Adour, 64012 PauCedex, FranceWe 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.http://dx.doi.org/10.1155/2008/759354
spellingShingle B. Dhalila S. Y. Khoodoruth
Harry C. S. Rughooputh
Wilfrid Lefer
Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images
International Journal of Biomedical Imaging
title Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images
title_full Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images
title_fullStr Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images
title_full_unstemmed Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images
title_short Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images
title_sort semi automatic integrated segmentation approaches and contour extraction applied to computed tomography scan images
url http://dx.doi.org/10.1155/2008/759354
work_keys_str_mv AT bdhalilasykhoodoruth semiautomaticintegratedsegmentationapproachesandcontourextractionappliedtocomputedtomographyscanimages
AT harrycsrughooputh semiautomaticintegratedsegmentationapproachesandcontourextractionappliedtocomputedtomographyscanimages
AT wilfridlefer semiautomaticintegratedsegmentationapproachesandcontourextractionappliedtocomputedtomographyscanimages