Mumford and shah model and its applications to image segmentation and image restoration

Leah Bar, Tony F. Chan, Ginmo Chung, Miyoun Jung, Nahum Kiryati, Nir Sochen, Luminita A. Vese

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter presents an overview of the Mumford and Shah model for image segmentation. It discusses its various formulations, some of its properties, the mathematical framework, and several approximations. It also presents numerical algorithms and segmentation results using the Ambrosio-Tortorelli phase-field approximations on one hand and level set formulations on the other hand. Several applications of the Mumford-Shah problem to image restoration are also presented.

Original languageEnglish
Title of host publicationHandbook of Mathematical Methods in Imaging
Subtitle of host publicationVolume 1, Second Edition
PublisherSpringer New York
Pages1539-1597
Number of pages59
ISBN (Electronic)9781493907908
ISBN (Print)9781493907892
DOIs
StatePublished - 1 Jan 2015

Fingerprint

Dive into the research topics of 'Mumford and shah model and its applications to image segmentation and image restoration'. Together they form a unique fingerprint.

Cite this