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Finsler Geodesics Evolution Model for Region based Active Contours
Author(s) -
Da Chen,
JeanMarie Mirebeau,
Laurent Cohen
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.30.22
Subject(s) - eikonal equation , geodesic , fast marching method , active contour model , solver , metric (unit) , energy functional , mathematics , level set (data structures) , energy (signal processing) , mathematical analysis , computer science , algorithm , mathematical optimization , computer vision , segmentation , image segmentation , artificial intelligence , operations management , statistics , economics
In this paper, we introduce a new deformable model for image segmentation, by reformulating a region-based active contours energy into a geodesic contour energy involving an asymmetric Finsler metric. As a consequence, we solve the region-based active contours energy minimization problem without resorting to level set functions, but using a robust Eikonal equation framework. By sampling a set of control points from the closed active contour in clockwise order, the active contours evolution problem is turned into finding a collection of minimal curves joining all the ordered control points. Therefore, the proposed model can blend the benefits of the curve evolution scheme and the Eikonal equation-based minimal path technique. Globally optimal minimal curves are obtained by solving an Eikonal equation, involving a Finsler metric, which is achieved at a modest numerical cost using a variant of the fast marching algorithm.

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