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RESEARCH PRODUCT

GRASP & evolutionary path relinking for medical image registration based on point matching

Jose SantamariaOscar CordonSergio DamasRafael MartiRicardo J. Palma

subject

Matching (statistics)business.industryGRASPComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationPoint set registrationEvolutionary computationElectronic mailComputer visionArtificial intelligencebusinessMetaheuristicGreedy randomized adaptive search procedureMathematics

description

Image registration is a very active research area in computer vision. Image registration methods, aim to find a transformation between two images taken under different conditions. Point matching is an image registration approach based on searching for the right pairing of points between the two images. From this matching, the registration transformation can be inferred by means of numerical methods. In this paper, we tackle the medical image registration problem adapting a new advanced hybrid metaheuristic composed by the GRASP and the evolutionary path relinking algorithms, called G&EvPR. The experiments conducted in this work have shown the good performance of G&EvPR compared to similar approaches of the state of the art when dealing with different medical image modalities. In particular, a good tradeoff between search space diversification and intensification is achieved.

yearjournalcountryeditionlanguage
2010-07-01IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/cec.2010.5586071