The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems.
The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters' content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques.
The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.
| ISBN: | 9783642446238 |
| Publication date: | 23rd February 2014 |
| Author: | Roumen Kountchev, Kazumi Nakamatsu |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 456 pages |
| Series: | Intelligent Systems Reference Library |
| Genres: |
Artificial intelligence |
The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters.
Advances in Reasoning-Based Image Processing Intelligent Systems features in the following genres: Artificial intelligence
Paperback, Hardback. Not Available.
Advances in Reasoning-Based Image Processing Intelligent Systems was written by Roumen Kountchev, Kazumi Nakamatsu and published by Springer an imprint of Springer Berlin Heidelberg
Advances in Reasoning-Based Image Processing Intelligent Systems has 456 pages
Yes it is part of Intelligent Systems Reference Library series