Image Segmentation and Restoration Using Parametric Contours With Free Endpoints
Computer Vision and Pattern Recognition
2016-04-20 v1 Analysis of PDEs
Numerical Analysis
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.
Cite
@article{arxiv.1504.07259,
title = {Image Segmentation and Restoration Using Parametric Contours With Free Endpoints},
author = {Heike Benninghoff and Harald Garcke},
journal= {arXiv preprint arXiv:1504.07259},
year = {2016}
}