Application of Chaos and Fractals to Computer Vision. (Record no. 39019)
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000 -LEADER | |
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fixed length control field | 03389nam a22004213i 4500 |
001 - CONTROL NUMBER | |
control field | EBC1757595 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | MiAaPQ |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240729122942.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d | |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr cnu|||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240724s2014 xx o ||||0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781608059003 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781608059010 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (MiAaPQ)EBC1757595 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (Au-PeEL)EBL1757595 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)886372603 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | MiAaPQ |
Language of cataloging | eng |
Description conventions | rda |
-- | pn |
Transcribing agency | MiAaPQ |
Modifying agency | MiAaPQ |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TA1634.F376 2014 |
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 6.37 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Farmer, Michael E. |
245 10 - TITLE STATEMENT | |
Title | Application of Chaos and Fractals to Computer Vision. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Sharjah : |
Name of producer, publisher, distributor, manufacturer | Bentham Science Publishers, |
Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Date of production, publication, distribution, manufacture, or copyright notice | ©2014. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (333 pages) |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Cover -- Title -- EUL -- Dedication -- Contents -- Biography -- Foreword -- Preface -- Chapter 01 -- Chapter 02 -- Chapter 03 -- Chapter 04 -- Chapter 05 -- Chapter 06 -- Chapter 07 -- Chapter 08 -- Chapter 09 -- Chapter 10 -- References -- Author Index -- Index. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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. |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Description based on publisher supplied metadata and other sources. |
590 ## - LOCAL NOTE (RLIN) | |
Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer vision. |
655 #4 - INDEX TERM--GENRE/FORM | |
Genre/form data or focus term | Electronic books. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
Main entry heading | Farmer, Michael E. |
Title | Application of Chaos and Fractals to Computer Vision |
Place, publisher, and date of publication | Sharjah : Bentham Science Publishers,c2014 |
International Standard Book Number | 9781608059010 |
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=1757595">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=1757595</a> |
Public note | Click to View |
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