Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Author:   Leonidas Deligiannidis (Professor of Computer Science and Networking, Wentworth Institute of Technology, Boston, MA) ,  Hamid R Arabnia (Professor of Computer Science, University of Georgia, Athens, GA, USA)
Publisher:   Elsevier Science & Technology
ISBN:  

9780128020456


Pages:   640
Publication Date:   10 December 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition


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Author:   Leonidas Deligiannidis (Professor of Computer Science and Networking, Wentworth Institute of Technology, Boston, MA) ,  Hamid R Arabnia (Professor of Computer Science, University of Georgia, Athens, GA, USA)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Weight:   1.270kg
ISBN:  

9780128020456


ISBN 10:   0128020458
Pages:   640
Publication Date:   10 December 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

IMAGE PROCESSING (about 30 articles) This section addresses many of the low-level processing as well as imaging fundamentals. Chapter 1: Software Tools for Imaging Chapter 2: Image Generation, Acquisition, and Processing Chapter 3: Image-based Modeling and Algorithms Chapter 4: Mathematical Morphology Chapter 5: Image Geometry and Multi-view Geometry Chapter 6: 3D Imaging Chapter 7: Novel Noise Reduction Algorithms Chapter 8: Image Restoration Chapter 9: Enhancement Techniques Chapter 10: Segmentation Techniques Chapter 11: Motion and Tracking Algorithms and Applications Chapter 12: Watermarking Methods and Protection + Wavelet Methods Chapter 13: Image Data Structures and Databases Chapter 14: Image Compression, Coding, and Encryption Chapter 15: Video Analysis Chapter 16: Multi-resolution Imaging Techniques Chapter 17: Performance Analysis and Evaluation Chapter 18: Multimedia Systems and Applications Chapter 19: Novel Image Processing Applications Section 2: COMPUTER VISION (about 25 articles) This section addresses many of the mid- to high-level processing as well as vision fundamentals. Chapter 20: Camera Networks and Vision Chapter 21: Sensors and Early Vision Chapter 22: Machine Learning Technologies for Vision Chapter 23: Image Feature Extraction Chapter 24: Cognitive and Biologically Inspired Vision Chapter 25: Object Recognition Chapter 26: Soft Computing Methods in Image Processing and Vision Chapter 27: Stereo Vision Chapter 28: Active and Robot Vision Chapter 29: Face and Gesture Recognition Chapter 30: Fuzzy and Neural Techniques in Vision Chapter 31: Medical Image Processing and Analysis Chapter 32: Novel Document Image Understanding Techniques Chapter 33: Special-purpose Machine Architectures for Vision Chapter 34: Biometric Authentication Chapter 35: Novel Vision Application and Case Studies Section 3: PATTERN RECOGNITION (about 20 articles) This section presents a number of pattern recognition algorithms and methodologies that are of value to the image processing and computer vision research communities. Chapter 36: Supervised and Un-supervised Classification Algorithms Chapter 37: Clustering Techniques Chapter 38: Dimensionality Reduction Methods in Pattern Recognition Chapter 39: Symbolic Learning Chapter 40: Ensemble Learning Algorithms Chapter 41: Parsing Algorithms Chapter 42: Bayesian Methods in Pattern Recognition and Matching Chapter 43: Statistical Pattern Recognition Chapter 44: Invariance in Pattern Recognition Chapter 45: Knowledge-based Recognition Chapter 46: Structural and Syntactic Pattern Recognition Chapter 47: Applications Including: Security, Medicine, Robotic, GIS, Remote Sensing, Industrial Inspection, Nondestructive Evaluation (or NDE), ... Chapter 48: Case studies and Emerging technologies

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Leonidas Deligiannidis is a Professor of Computer Science and Networking at Wentworth Institute of Technology in Boston. His research examines Image Processing, Network Security and Information Visualization. Deligiannidis earned his PhD in Computer Science at Tufts University. Hamid R. Arabnia is currently a Full Professor of Computer Science at University of Georgia where he has been since October 1987. His research interests include Parallel and distributed processing techniques and algorithms, interconnection networks, and applications in Computational Science and Computational Intelligence (in particular, in image processing, medical imaging, bioinformatics, and other computational intensive problems). Dr. Arabnia is Editor-in-Chief of The Journal of is Associate Editor of IEEE Transactions on Information Technology in Biomedicine . He has over 300 publications (journals, proceedings, editorship) in his area of research in addition he has edited two titles Emerging Trends in ICT Security (Elsevier 2013), and Advances in Computational Biology (Springer 2012).

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