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Author (up) Petia Radeva; Enric Marti
Title An improved model of snakes for model-based segmentation Type Conference Article
Year 1995 Publication Proceedings of Computer Analysis of Images and Patterns Abbreviated Journal
Volume Issue Pages 515-520
Keywords
Abstract The main advantage of segmentation by snakes consists in its ability to incorporate smoothness constraints on the detected shapes that can occur. Likewise, we propose to model snakes with other properties that reflect the information provided about the object of interest in a different extent. We consider different kinds of snakes, those searching for contours with a certain direction, those preserving an object’s model, those seeking for symmetry, those expanding open, etc. The availability of such a collection of snakes allows not only the more complete use of the knowledge about the segmented object, but also to solve some problems of the existing snakes. Our experiments on segmentation of facial features justify the usefulness of snakes with different properties.
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Language Summary Language Original Title
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Area Expedition Conference CAIP
Notes MILAB;IAM Approved no
Call Number IAM @ iam @ RaM1995b Serial 1632
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