Localized patch-based fuzzy active contours for image segmentation
type: Item
instance of: scholarly article
title: Localized patch-based fuzzy active contours for image segmentation
zbMATH Open document ID: 1368.92094
DOI: 10.1155/2016/1064692
author: Jiangxiong Fang
author: He-Sheng Liu
author: Huaxiang Liu
author: Liting Zhang
author: Jun Liu
published in: Computational \& Mathematical Methods in Medicine
publication date: 2017-08-10T00:00:00Z
review text: Summary: This paper presents a novel fuzzy region-based active contour model for image segmentation. By incorporating local patch-energy functional along each pixel of the evolving curve into the fuzziness of the energy, we construct a patch-based energy function without the regurgitation term. Its purpose is not only to make the active contour evolve very stably without the periodical initialization during the evolution but also to reduce the effect of noise. In particular, in order to reject local minimal of the energy functional, we utilize a direct method to calculate the energy alterations instead of solving the Euler-Lagrange equation of the underlying problem. Compared with other fuzzy active contour models, experimental results on synthetic and real images show the advantages of the proposed method in terms of computational efficiency and accuracy.
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 90C70
zbMATH DE Number: 6759159
zbMATH Keywords: fuzzy region-based active contour model
zbMATH Keywords: Euler-Lagrange equation
zbMATH Keywords: image segmentation
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/1064692
OpenAlex ID: W2563523063
Wikidata QID: Q37533823
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description: scientific article; zbMATH DE number 6759159