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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sapiro, G. |
| Copyright Year | 1996 |
| Description | Author affiliation: Hewlett-Packard Labs., Palo Alto, CA, USA (Sapiro, G.) |
| Abstract | A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving towards the objects to be detected in the vector-valued image. Objects boundaries are obtained as geodesics or minimal weighted distance curves in a Riemannian space. The metric in this space is given by a definition of edges in vector-valued images. The curve flow corresponding to the proposed active contours holds formal existence, uniqueness, stability, and correctness results. The technique is applicable for example to color and texture images. The scheme automatically handles changes in the deforming curve topology. We conclude the paper presenting an extension of the color active contours which leads to a possible image flow for vector-valued image segmentation. The algorithm is based on moving each one of the image level-sets according to the proposed color active contours. This extension also shows the relation of the color geodesic active contours with a number of partial-differential-equations based image processing algorithms as anisotropic diffusion and shock filters. |
| Starting Page | 680 |
| Ending Page | 685 |
| File Size | 756669 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818672595 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1996.517146 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-06-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Active contours Object segmentation Object detection Extraterrestrial measurements Image edge detection Stability Topology Image segmentation Color Image processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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