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Image Segmentation Using Parametric Contours With Free Endpoints
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DOI：10.1109/TIP.2016.2529180.png)
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Abstract
En 中文
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.
Keywords:
Image segmentation
active contours
Mumford-Shah
Chan-Vese
parametric method
free endpoints
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