Result: An artificial immune system for multimodality image alignment

Title:
An artificial immune system for multimodality image alignment
Authors:
BENDIAB, Esma, MESHOUL, Souham, BATOUCHE, Mohamed
Source:
Artificial immune systems (Edinburgh, 1-3 September 2003)Lecture notes in computer science. :11-21
Publisher Information:
Berlin: Springer, 2003.
Publication Year:
2003
Physical Description:
print, 25 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Généralités, General, Alignement, Alignment, Alineamiento, Entropie, Entropy, Entropía, Faisabilité, Feasibility, Practicabilidad, Méthode combinatoire, Combinatorial method, Método combinatorio, Méthode heuristique, Heuristic method, Método heurístico, Méthode optimisation, Optimization method, Método optimización, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Similitude, Similarity, Similitud, Stratégie recherche, Search strategy, Estrategia investigación, Système immunitaire, Immune system, Sistema inmunitario, Transformation géométrique, Geometric transformation, Transformación geométrica
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Computer Vision Group, LIRE Laboratory, Computer Science Department, Mentouri University, 25000 Constantine, Algeria
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=15734549
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.15734549
Database:
PASCAL Archive

Further Information

Alignment of multimodality images is the process that attempts to find the geometric transformation overlapping at best the common part of two images. The process requires the definition of a similarity measure and a search strategy. In the literature, several studies have shown the ability and effectiveness of entropy-based similarity measures to compare multimodality images. However, the employed search strategies are based on some optimization schemes which require a good initial guess. A combinatorial optimization method is critically needed to develop an effective search strategy. Artificial Immune Systems (AISs) have been proposed as a powerful addition to the canon of meta-heuristics. In this paper, we describe a framework which combines the use of an entropy-based measure with an AIS-based search strategy. We show how AISs have been tailored to explore efficiently the space of transformations. Experimental results are very encouraging and show the feasibility and effectiveness of the proposed approach.