Fast two-phase image segmentation based on diffusion equations and gray level sets
type: Item
instance of: scholarly article
title: Fast two-phase image segmentation based on diffusion equations and gray level sets
zbMATH Open document ID: 1304.35344
DOI: 10.1186/1687-2770-2014-11
author: Boying Wu
author: Xiaoping Ji
author: Dazhi Zhang
published in: Boundary Value Problems
publication date: 2014-11-05T00:00:00Z
Mathematics Subject Classification ID: 35K55
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 6365943
zbMATH Keywords: discrete gray level set
zbMATH Keywords: forward-backward diffusion
zbMATH Keywords: non-convex functional
zbMATH Keywords: chan-vese minimal variance
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1186/1687-2770-2014-11
OpenAlex ID: W2123603380
Wikidata QID: Q59324320
cites work: Optimal approximations by piecewise smooth functions and associated variational problems
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: Geodesic active regions and level set methods for supervised texture segmentation
cites work: A geometric model for active contours in image processing
cites work: Generalized gradient vector flow external forces for active contours
cites work: Geometric Level Set Methods in Imaging, Vision, and Graphics
cites work: Deformable template models: a review.
cites work: An efficient local Chan-Vese model for image segmentation
cites work: Analysis of a Nonconvex Problem Related to Signal Selective Smoothing
cites work: Nonlinear total variation based noise removal algorithms
cites work: Q4530247
cites work: A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
cites work: The structure of images
description: scientific article; zbMATH DE number 6365943