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Optimisation in Signal and Image Processing
Iste Ltd (Verlag)
978-1-84704-018-3 (ISBN)
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Engineers daily encounter technological problems of growing complexity which occur in very diverse fields, such as telecommunication, genomics ad biomedical engineering. The problem to be solved can often be expressed in the form of an optimization problem: an objective function is defined, one that seeks to minimize vis-a-vis all parameters concerned. This book describes some of the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms and artificial immune systems).
Patrick Siarry was born in France in 1952. He received the PhD degree from the University Paris 6, in 1986 and the Doctorate of Science (Habilitation) from the University Paris 11, in 1994. He was first involved in the development of analog and digital models of nuclear power plants at Electricite de France. Since 1995 he is a full professor in automatics and informatics. His main research interests are the improvement of optimization "metaheuristics" and their application to various engineering fields.
1. Modeling and optimization in image analysis Jean LOUCHET 2. Artificial evolution and Parisian approach: applications to signal and image processing Pierre COLLET, Jean LOUCHET 3. Wavelets and fractals for signal and image analysis Abdeljalil OUAHABI, Djedjiga AIT AOUIT 4. Information criteria: examples of applications to signal and image processing Christian OLIVIER, Olivier ALATA 5. Quadratic programming and learning. Large size and parsimony Gaelle LOOSLI, Stephane CANU 6. Probabilistic modeling of policies and their optimization for the planning of sensors Frederic DAMBREVILLE, Francis CELESTE, Cecile SIMONIN 7. Optimization of emissions for the trajectography and the tracking of moving targets Jean-Pierre LE CADRE 8. Bayesian inference, Markovian approaches and optimization problems applied to underwater acoustical imaging Christophe COLLET 9. Use of hidden Markov models for the robust reconnaissance of images: learning through ant colony, genetic algorithm and particle swarm algorithms Sebastien AUPETIT, Nicolas MONMARCHE, Mohamed SLIMANE 10. Biological metaheuristics for the detection of road signalization Guillaume DUTILLEUX, Pierre CHARBONNIER 11. Metaheuristics handling continuous variables. Example of the registration of retinal angiography images Johann DREO, Jean-Claude NUNES, Patrick SIARRY 12. Joint estimation of dynamics and shape of physiological signals through genetic algorithms Amine NAIT-ALI, Patrick SIARRY 13. Aid in parameterizing cochlear implants through an interactive evolutionary algorithm Pierre COLLET, Pierrick LEGRAND, Claire BOURGEOIS-REPUBLIQUE, Vincent PEAN, Bruno FRACHET Index
Erscheint lt. Verlag | 10.9.2007 |
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Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
ISBN-10 | 1-84704-018-7 / 1847040187 |
ISBN-13 | 978-1-84704-018-3 / 9781847040183 |
Zustand | Neuware |
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