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                                       Details for article 4 of 7 found articles
 
 
  Optimal partitions, regularized solutions, and application to image classification
 
 
Title: Optimal partitions, regularized solutions, and application to image classification
Author: Aubert, Gilles
Aujol, Jean-Franc
Appeared in: Applicable analysis
Paging: Volume 84 (2005) nr. 1 pages 15-35
Year: 2005-01
Contents: This article is concerned with the problem of finding a regular and homogeneous partition of a Lipschitz open set Ω of  [image omitted]. This type of problem occurs in image classification which consists in assigning a label (that is a class or a phase) to each pixel of an observed image. Such a problem can numerically be solved by using a level set formulation. But this approach generally relies on heuristic arguments. We intend here to give a theoretical justification in the two phases case. In the first part of the paper, we prove that the partition problem we consider admits a solution. And in the second part, we justify the numerical approach which is generally used to compute a solution.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 7 found articles
 
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