Image Segmentation Using Parametric Contours With Free Endpoints
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.
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