Abstract
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We propose a level set based variational approach that incorporates shape priors into edge-based and region-based models. The evolution of the active contour depends on local and global information. It has been implemented using an efficient narrow band technique. For each boundary pixel we calculate its dynamic according to its gray level, the neighborhood and geometric properties established by training shapes. We also propose a criterion for shape aligning based on affine transformation using an image normalization procedure. Finally, we illustrate the benefits of the our approach on the liver segmentation from CT images. | |
International
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Si |
Congress
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Pattern Recognition and Image Analysis - 5th Iberian Conference, IbPRIA 2011 |
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960 |
Place
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Las Palmas de Gran Canaria, Spain |
Reviewers
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Si |
ISBN/ISSN
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978-3-642-21256-7 |
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10.1007/978-3-642-21257-4_14 |
Start Date
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08/06/2011 |
End Date
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10/06/2011 |
From page
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109 |
To page
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116 |
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PATTERN RECOGNITION AND IMAGE ANALYSIS Lecture Notes in Computer Science, 2011, Volume 6669/2011 |