Bentham is offering subject-based scholarly content collections which are tailored to meet specific research needs. Researchers can access related articles from current and back volumes by purchasing access to these collections. Subscribers will also have access to new articles as soon as they are published and added to these collections. With new articles being added to these collections on a daily basis, the collections serve as an ideal tool to keep researchers updated with new developments in the respective fields.
DOI: 10.2174/97816080590031140101 eISBN: 978-1-60805-900-3, 2014 ISBN: 978-1-60805-901-0
Back Recommend this Book to your Library Cite as
Cite this Book as:
For Books Michael E. Farmer , " Application of Chaos and Fractals to Computer Vision ", Bentham Science Publishers (2014). https://doi.org/10.2174/97816080590031140101
Print ISBN978-1-60805-901-0
Online ISBN978-1-60805-900-3
Page: i-i (1) Author: Michael E. Farmer DOI: 10.2174/9781608059003114010001
Page: ii-iii (2) Author: Witold Kinsner DOI: 10.2174/9781608059003114010002
Page: iv-vi (3) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010003
Page: 3-7 (5) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010004 PDF Price: $15
Page: 8-14 (7) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010005 PDF Price: $15
Page: 15-50 (36) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010006 PDF Price: $15
Page: 51-113 (63) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010007 PDF Price: $15
Page: 114-165 (52) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010008 PDF Price: $15
Page: 166-185 (20) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010009 PDF Price: $15
Page: 186-201 (16) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010010 PDF Price: $15
Page: 202-232 (31) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010011 PDF Price: $15
Page: 233-269 (37) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010012 PDF Price: $15
Page: 270-303 (34) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010013 PDF Price: $15
Page: 304-314 (11) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010014
Page: 315-318 (4) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010015
Page: 319-323 (5) Author: Michael Edward Farmer DOI: 10.2174/9781608059003114010016
This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithms are very helpful for a broad range of computer vision problems like motion segmentation, texture analysis and change detection. The contents of this book include chapters in biological vision systems, foundations of chaos and fractals, behavior of images and image sequences in phase space, mathematical measures for analyzing phase space, applications to pre-attentive vision and applications to post-attentive vision. This book is intended for graduate students, upper division undergraduates, researchers and practitioners in image processing and computer vision. The readers will develop a solid understanding of the concepts of chaos theory and their application to computer vision. Readers will be introduced to a new way of thinking about computer vision problems from the perspective of complex dynamical systems. This new approach will provide them a deeper understanding of the various phenomena present in complex image scenes.
Recent Patents on Computer Science
The Chinese Journal of Artificial Intelligence
Current Chinese Computer Science
Journal of Fuzzy Logic and Modeling in Engineering
Recent Advances in Computer Science and Communications
International Journal of Sensors, Wireless Communications and Control
Current Machine Learning
Current Computer Science
Journal of Intelligent Systems in Current Computer Engineering
Wireless and Communication Letters
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
A First Course in Artificial Intelligence
Artificial Intelligence: Models, Algorithms and Applications
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Applications of Modern High Performance Networks
Arduino Meets Matlab: Interfacing, Programs and Simulink
Arduino and SCILAB based Projects
Agent-Based Computational Economics Using NetLogo