LNCS 2787 An Artificial Immune System for Multimodality Image Alignment 1st Edition by Esma Bendiab, Souham Meshoul, Mohamed Batouche  ISBN 3540451927 9783540451921

LNCS 2787 – An Artificial Immune System for Multimodality Image Alignment 1st Edition by Esma Bendiab, Souham Meshoul, Mohamed Batouche  – Ebook PDF Instant Download/Delivery. 3540451927, 9783540451921

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Product details:

ISBN 10: 3540451927

ISBN 13: 9783540451921

Author:  Esma Bendiab, Souham Meshoul, Mohamed Batouche  

LNCS 2787 – An Artificial Immune System for Multimodality Image Alignment 1st Edition: 

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 (AIS S ) 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 AIS S 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.

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