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,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2008/759354 |
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| Summary: | 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. |
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| ISSN: | 1687-4188 1687-4196 |