Improved Snake Model Algorithm with Application in Liver Image Segmentation
| Autor: | Le Quan Min, Hong Lan |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Active contour model
Watershed Computer science Segmentation-based object categorization business.industry Scale-space segmentation General Medicine Function (mathematics) Image segmentation Curvature Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Algorithm Energy (signal processing) |
| Zdroj: | Applied Mechanics and Materials. :2643-2648 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.263-266.2643 |
| Popis: | Snake model is one of classical active contour models, and is widely used in the image segmentation. But it has defects of sensitive to the initial contour and lack of curvature constraints. This paper presents an improved Snake model algorithm, which initializes contour by maker control watershed algorithm and adds an external force related with the curve shape into the energy function of Snake model to solve the problem about curvature constraints. Testing on the Magnetic Resonance (MR) images of the abdomen for liver image segmentation proves that the new algorithm can achieve good results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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