Paper Info
Title
Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
Abstract
We show how certain nonconvex optimization problems that arise in image processing and computer vision can be restated as convex minimization problems. This allows, in particular, the finding of global minimizers via standard convex minimization schemes.
Year
DOI
Venue
2006
10.1137/040615286
SIAM JOURNAL ON APPLIED MATHEMATICS
Keywords
DocType
Volume
denoising,segmentation
Journal
66
Issue
ISSN
Citations 
5
0036-1399
169
PageRank 
References 
Authors
7.43
12
3
Search Limit
100169
Name
Order
Citations
PageRank
Mila Nikolova11792105.71
Selim Esedoglu2100049.59
Tony F. Chan38733659.77