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arXiv · 1504.07259

Image Segmentation and Restoration Using Parametric Contours With Free Endpoints

Heike Benninghoff·Harald Garcke
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Abstract

In this paper, we introduce a novel approach for active contours with free endpoints. A scheme is presented for image segmentation and restoration 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.

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Heike Benninghoff, Harald Garcke. 2015-04-27. Image Segmentation and Restoration Using Parametric Contours With Free Endpoints. https://doi.org/10.1109/tip.2016.2529180

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