Accession Number : AD1018372


Title :   A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Image Segmentation


Descriptive Note : Technical Report


Corporate Author : University of California at Irvine Irvine United States


Personal Author(s) : Park,Fredrick ; Lou,Yifei ; Xin,Jack


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1018372.pdf


Report Date : 01 May 2016


Pagination or Media Count : 6


Abstract : We propose to incorporate a weighted difference of anisotropicand isotropic total variation (TV) norms into a relaxed formulation of the two phase Mumford-Shah (MS) model for image segmentation. We show results exceeding those obtained by the MS model when using the standard TV norm to regularize partition boundaries. In particular, examples illustrating the qualitative differences between the proposed model and the standard MS one are shown. A fast numerical methodis introduced to minimize the proposed model utilizing the difference-of-convex algorithm (DCA) and the primal dual hybrid gradient (PDHG) method.


Descriptors :   segmentation , models , image processing , algorithms , isotropism


Distribution Statement : APPROVED FOR PUBLIC RELEASE