Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images (eBook, PDF)

Redaktion: Zharkova, Valentina

• Format: PDF

Produktbeschreibung

This book presents innovative techniques in Recognition and Classification of Astrophysical and Medical Images. The contents include:

• Introduction to pattern recognition and classification in astrophysical and medical images.
• Image standardization and enhancement.
• Region-based methods for pattern recognition in medical and astrophysical images.
• Advanced information processing using statistical methods.
• Feature recognition and classification using spectral method

The book is intended for astrophysicists, medical researches, engineers, research students and technically aware managers in the Universities, Astrophysical Observatories, Medical Research Centres working on the processing of large archives of astrophysical or medical digital images. This book can be used as a text book for students of Computing, Cybernetics, Applied Mathematics and Astrophysics.

While there are plenty of volumes tackling pattern recognition problems in finance, marketing, and the like, I commend the editors and the authors for their efforts to tackle the big questions in life, and their excellent contributions to this book.

Professor Kate Smith-Miles Head, School of Engineering and Information Technology, Deakin University, Australia

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 374
• Erscheinungstermin: 6. April 2007
• Englisch
• ISBN-13: 9783540475187
• Artikelnr.: 44133291

Autorenporträt

Valentina Zharkova is Chair of Applied Mathematics at the Department of Mathematics and Computing, University of Bradford, UK. Having obtained her M.Sc. degree from Taras Shevchenko National University of Kiev (NUK), Ukraine, and her Ph.D. degree from the Main Astronomical Observatory of the Ukrainian Academy of Sciences, she worked for NUK for 20 years. In 1992, she moved to the University of Glasgow as a Royal Society Research Fellow and in 2000 to the University of Bradford. She authored over 200 scientific publications including the key one in Nature (issue 6683, 1998) on the discovery of solar quakes, which was covered by media worldwide. Professor Zharkova is a member of the Royal Astronomical Society, the International Astronomical Union, the European Physical Society and of the Editorial Board of the Journal on Knowledge-based Engineering Systems (KES).

Inhaltsangabe

to Pattern Recognition and Classification in Medical and Astrophysical Images.- Image Standardization and Enhancement.- Intensity and Region-Based Feature Recognition in Solar Images.- Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms.- Feature Recognition and Classification Using Spectral Methods.