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| Content Provider | Springer Nature Link |
|---|---|
| Author | Neuenschwander, Walter M. Fua, Pascal Iverson, Lee Székely, Gábor Kübler, Olaf |
| Copyright Year | 1997 |
| Abstract | We propose a snake-based approach that allows a user to specify only the distant end points of the curve he wishes to delineate without having to supply an almost complete polygonal approximation. This greatly simplifies the initialization process and yields excellent convergence properties. This is achieved by using the image information around the end points to provide boundary conditions and by introducing an optimization schedule that allows a snake to take image information into account first only near its extremities and then, progressively, toward its center. In effect, the snakes are clamped onto the image contour in a manner reminiscent of a ziplock being closed.These snakes can be used to alleviate the often repetitive task practitioners face when segmenting images by eliminating the need to sketch a feature of interest in its entirety, that is, to perform a painstaking, almost complete, manual segmentation. |
| Starting Page | 191 |
| Ending Page | 201 |
| Page Count | 11 |
| File Format | |
| ISSN | 09205691 |
| Journal | International Journal of Computer Vision |
| Volume Number | 25 |
| Issue Number | 3 |
| e-ISSN | 15731405 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 1997-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Artificial Intelligence (incl. Robotics) Computer Imaging, Graphics and Computer Vision Image Processing Automation and Robotics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Vision and Pattern Recognition Software |
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