Soft Computing for Image and Multimedia Data Processing - Siddhartha Bhattacharyya, Ujjwal Maulik

Soft Computing for Image and Multimedia Data Processing

Buch | Softcover
XV, 267 Seiten
2016 | 1. Softcover reprint of the original 1st ed. 2013
Springer Berlin (Verlag)
978-3-662-51359-0 (ISBN)
53,49 inkl. MwSt
This full-spectrum graduate textbook starts with a tutorial on brain learning and the key soft computing techniques. It focuses on object extraction, image segmentation and edge detection, with extensive real-life applications in multimedia data processing.

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data.

The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions.

This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.

Dr. Siddhartha Bhattacharyya is an Associate Professor in the Dept. of Information Technology of the RCC Institute of Information Technology in Kolkata. He earned Bachelor's degrees in physics, and in optics and optoelectronics, and a Master's degree in optics and optoelectronics from the University of Calcutta, and a PhD in engineering from Jadavpur University, Kolkata. He has published more than 85 research publications. His research interests include soft computing, pattern recognition and quantum computing. Prof. Ujjwal Maulik has been a Professor in the Dept. of Computer Science and Engineering, Jadavpur University, Kolkata since 2004. He has Bachelor's degrees in physics and computer science, and a Master's degree and a PhD in computer science. He led the Dept. of Computer Science and Technology of Kalyani Government Engineering College from 1996 to 1999. He has collaborated and lectured at various institutions worldwide, including extended visits at the Los Alamos National Laboratory, USA, the Univ. of New South Wales, Australia, the Univ. of Texas at Arlington, USA, the Univ. of Maryland, Baltimore County, USA, the Fraunhofer Institute AiS, St. Augustin, Germany, Tsinghua University, China, the Univ. of Rome, Italy, the Univ. of Heidelberg, Germany, and the German Cancer Research Center. He received the Government of India BOYSCAST fellowship in 2001, and the Alexander Von Humboldt Fellowship for Experienced Researchers in 2010, 2011, and 2012, and he has coordinated a number of Erasmus Mundus Mobility with Asia (EMMA) programs. He has coauthored 7 books and more than 250 research publications; he has been program chair for many international conferences and workshops, he is on the editorial board of many journals, and he is a founding member of the IEEE Computational Intelligence Society (CIS) Chapter, Calcutta section. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition, and data mining.

Chap. 1 Introduction.- Chap. 2 Transformation-Invariant Image Recognition Using Multilayer Perceptron.- Chap. 3 Energy Efficient Intelligent Lighting Control Using a Multilayer Perceptron.- Chap. 4 Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field.- Chap. 5 Binary Object Extraction by Bidirectional Self-organizing Neural Network Architecture.- Chap. 6 Multilevel Object Extraction by BDSONN Architecture.- Chap. 7 Color Object Extraction by Parallel BDSONN Architecture.- Chap. 8 Gray-Scale Image Edge Detection Using Rough Sets.- References.- Index.

Erscheinungsdatum
Zusatzinfo XV, 267 p. 171 illus., 53 illus. in color.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • artificial intelligence (incl. robotics) • Artificial Neural Networks • Brain learning • Computational Intelligence • Computer Science • computer vision • Data Mining • data mining and knowledge discovery • Edge Detection • Evolutionary Computing • Expert systems / knowledge-based systems • Fuzzy Logic • Fuzzy Sets • Image Processing • image processing and computer vision • Image Recognition • Metaheuristics • Multilayer Perceptron • Multimedia data • Neural networks • object extraction • pattern recognition • Robotics • Rough Sets • Soft Computing • Synaptic learning
ISBN-10 3-662-51359-5 / 3662513595
ISBN-13 978-3-662-51359-0 / 9783662513590
Zustand Neuware
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