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Computational Methods in Applied Sciences Volume 19 Series Editor E. O˜nate International Center for Numerical Methods in Engineering (CIMNE) Technical University of Catalunya (UPC) Edificio C-1, Campus Norte UPC Gran Capit´an, s/n 08034 Barcelona, Spain [email protected] www.cimne.com

For other titles published in this series, go to www.springer.com/series/6899

Jo˜ao Manuel R. S. Tavares  R. M. Natal Jorge Editors

Computational Vision and Medical Image Processing Recent Trends

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Editors Jo˜ao Manuel R. S. Tavares Universidade do Porto Fac. Engenharia Departamento de Engenharia Mecˆanica Rua Dr. Roberto Frias 4200-465 Porto Portugal [email protected]

R. M. Natal Jorge Universidade do Porto Fac. Engenharia Departamento de Engenharia Mecˆanica Rua Dr. Roberto Frias 4200-465 Porto Portugal [email protected]

ISSN 1871-3033 ISBN 978-94-007-0010-9 e-ISBN 978-94-007-0011-6 DOI 10.1007/978-94-007-0011-6 Springer Dordrecht Heidelberg New York London c Springer Science+Business Media B.V. 2011  No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)

Preface

Nowadays, computational methodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its intermultidisciplinary nature. In fact, in this domain, methodologies of several other fundamental sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are regularly used. Besides this inter-multidisciplinary characteristic, one of the main rationale that promotes the continuous effort being made in this area of human knowledge is the number of applications in the medical area. For instance, statistical or physical procedures on medical images can be used in order to model the represented structures. This modelling can have different goals, for example: shape reconstruction, segmentation, registration, behavioural interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related fields and try to identify areas of potential collaboration between researchers of diffe