Fast image segmentation based on efficient implementation of the Chan-Vese model with discrete gray level sets
type: Item
instance of: scholarly article
title: Fast image segmentation based on efficient implementation of the Chan-Vese model with discrete gray level sets
zbMATH Open document ID: 1299.94017
DOI: 10.1155/2013/508543
author: Song-Song Li
author: Qing-Pu Zhang
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6372431
Wikidata QID: Q59028300
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/508543
OpenAlex ID: W2087868577
cites work: Optimal approximations by piecewise smooth functions and associated variational problems
cites work: Constraints on deformable models: Recovering 3D shape and nonrigid motion
cites work: A geometric model for active contours in image processing
cites work: Active contours without edges
cites work: Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
cites work: A multiphase level set framework for image segmentation using the Mumford and Shah model
cites work: Geometric Level Set Methods in Imaging, Vision, and Graphics
cites work: An efficient local Chan-Vese model for image segmentation
cites work: Q4530247
cites work: Nonlinear total variation based noise removal algorithms
cites work: The structure of images
cites work: Topographic distance and watershed lines
description: scientific article; zbMATH DE number 6372431