Global Minimizers of The Active Contour/Snake Model
نویسندگان
چکیده
The active contour/snake model [9, 2, 10] is one of the most wellknown segmentation variational models in image processing. However this model suffers from the existence of local minima which makes the initial guess critical for getting satisfactory results. In this paper, we propose to solve this problem by finding global minimizers of the active contour model following the original work of Chan, Esedoḡlu and Nikolova [4]. Our approach uses the weighted total variation norm to link the standard active contour segmentation model with the denoising model of Rudin-Osher-Fatemi [15] and the Chan-Vese active contour segmentation models [5, 18] based on the Mumford-Shah functional [12].
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