On local region models and a statistical interpretation of the piecewise smooth Mumford-Shah functional
type: Item
instance of: scholarly article
title: On local region models and a statistical interpretation of the piecewise smooth Mumford-Shah functional
zbMATH Open document ID: 1477.68335
author: Daniel Cremers
author: Thomas Brox
published in: International Journal of Computer Vision
publication date: 2010-02-16T00:00:00Z
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 49J45
Mathematics Subject Classification ID: 49Q20
zbMATH DE Number: 5671907
zbMATH Keywords: segmentation
zbMATH Keywords: variational methods
zbMATH Keywords: statistical methods
zbMATH Keywords: regularization
MaRDI profile type: Publication
full work available at URL: s11263-008-0153-5
OpenAlex ID: W2115836603
cites work: Approximation of functional depending on jumps by elliptic functional via t-convergence
cites work: A geometric model for active contours in image processing
cites work: Active contours without edges
cites work: Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
cites work: Diffusion snakes: Introducing statistical shape knowledge into the Mumford-Shah functional
cites work: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
cites work: Constraints on deformable models: Recovering 3D shape and nonrigid motion
cites work: Variational methods in image segmentation with 7 image processing experiments
cites work: Optimal approximations by piecewise smooth functions and associated variational problems
cites work: Regularization, scale-space, and edge detection filters.
cites work: On Estimation of a Probability Density Function and Mode
cites work: Q5815557
cites work: Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
DOI: 10.1007/S11263-008-0153-5
description: scientific article; zbMATH DE number 5671907