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010   $a1-60805-900-6
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100   $a20171117h20142014  uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aApplication of chaos and fractals to computer vision /$fby Michael E. Farmer
210  1$aSharjah, United Arab Emirates :$cBentham Science Publishers,$d2014.
210  4$dİ2014
215   $a1 online resource (333 p.)
300   $aDescription based upon print version of record.
311   $a1-60805-901-4 
320   $aIncludes bibliographical references and index.
327   $aCover; 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
330   $aThis 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 algorithm
606   $aComputer vision
606   $aChaotic behavior in systems
606   $aFractal analysis
615  0$aComputer vision.
615  0$aChaotic behavior in systems.
615  0$aFractal analysis.
676   $a006.37
700   $aFarmer$b Michael E. $01522617
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910786797603321
996   $aApplication of chaos and fractals to computer vision$93762405
997   $aUNINA