Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

✍ Scribed by Prof. Valentina Zharkova (auth.), Prof. Valentina Zharkova, Prof. Lakhmi C. Jain (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007
Tongue: English
Leaves: 387
Series: Studies in Computational Intelligence 46
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

✦ Table of Contents

Front Matter....Pages I-XVI
Introduction to Pattern Recognition and Classification in Medical and Astrophysical Images....Pages 1-18
Image Standardization and Enhancement....Pages 19-58
Intensity and Region-Based Feature Recognition in Solar Images....Pages 59-149
Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms....Pages 151-338
Feature Recognition and Classification Using Spectral Methods....Pages 339-374

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

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