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A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors
Segmentation involves separating an object from the background in a given image. The use of image information alone often leads to poor segmentation results due to the presence of noise, clutter, or occlusion. The introduction of shape priors in the geometric active contour (GAC) framework has prove...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2008
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2800082/ https://ncbi.nlm.nih.gov/pubmed/18566493 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2007.70774 |
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