Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

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 re...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Zharkova, Valentina (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Studies in Computational Intelligence, 46
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images  |h [electronic resource] /  |c edited by Valentina Zharkova, Lakhmi C. Jain. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2007. 
300 |a XVI, 374 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 46 
505 0 |a 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. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 1 4 |a Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Zharkova, Valentina.  |e editor. 
700 1 |a Jain, Lakhmi C.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540475118 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 46 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-47518-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)