Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry : Third International Conference, MDA 2008, Leipzig, Germany, July 14, 2008, Proceedings

Ovidio Salvetti

ISBN 10: 354070714X / ISBN 13: 9783540707141

Verlag: Springer Berlin Heidelberg, 2008

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering.

Bestandsnummer des Verkäufers 9783540707141

Bibliografische Details

• Titel: Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry : Third International Conference, MDA 2008, Leipzig, Germany, July 14, 2008, Proceedings
• Verlag: Springer Berlin Heidelberg
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 354070714X
• ISBN-13: 9783540707141
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This book constitutes the refereed proceedings of the International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, MDA 2008, held in Leipzig, Germany, on July 14, 2008. The 18 full papers presented were carefully reviewed and selected for inclusion in the book. The topics include techniques and developments of signal and image producing procedures, object matching and object tracking in microscopic and video microscopic images, 1D, 2D and 3D shape analysis, description, feature extraction of texture, structure and location, and signal analysis and interpretation, image segmentation algorithms, parallelization of image analysis and interpretation algorithms, and semantic tagging of microscopic images, and application-oriented research from life science applications.

Reseña del editor

The automatic analysis of signals and images together with the characterization and elaboration of their representation features is still a challenging activity in many relevant scientific and hi-tech fields such as medicine, biotechnology, and chemistry. Multidimensional and multisource signal processing can generate a number of information patterns which can be useful to increase the knowledge of several domains for solving complex problems. Furthermore, advanced signal and image manipulation allows relating specific application problems into pattern recognition problems, often implying also the development of KDD and other computational intelligence procedures. Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly, signal and image understanding approaches able to generate automatically expected outputs become more and more essential, including novel conceptual approaches and system architectures. The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008; www.mda-signals.de) was to present the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry. Scientific and engineering experts convened at the workshop to present the current understanding of image and signal processing and interpretation methods useful for facing various medical and biological problems and exploring the applicability and effectiveness of advanced techniques as solutions.