Benninghoff, Heike and Garcke, Harald (2016) Image Segmentation Using Parametric Contours With Free Endpoints. IEEE TRANSACTIONS ON IMAGE PROCESSING, 25 (4). pp. 1639-1648. ISSN 1057-7149, 1941-0042
Full text not available from this repository. (Request a copy)Abstract
In this paper, we introduce a novel approach for active contours with free endpoints. A scheme for image segmentation is presented based on a discrete version of the Mumford-Shah functional where the contours can be both closed and open curves. Additional to a flow of the curves in normal direction, evolution laws for the tangential flow of the endpoints are derived. Using a parametric approach to describe the evolving contours together with an edge-preserving denoising, we obtain a fast method for image segmentation and restoration. The analytical and numerical schemes are presented followed by numerical experiments with artificial test images and with a real medical image.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | GEOMETRIC EVOLUTION-EQUATIONS; GEODESIC ACTIVE CONTOURS; CURVE EVOLUTION; MODELS; APPROXIMATION; EDGES; Image segmentation; active contours; Mumford-Shah; Chan-Vese; parametric method; free endpoints |
| Subjects: | 500 Science > 510 Mathematics |
| Divisions: | Mathematics > Prof. Dr. Harald Garcke |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 05 Apr 2019 08:26 |
| Last Modified: | 05 Apr 2019 08:26 |
| URI: | https://pred.uni-regensburg.de/id/eprint/3103 |
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