Studies in Computational Intelligence

Soft Computing Techniques in Vision Science

Editors: Patnaik, Srikanta, Yang, Yeon-Mo (Eds.)

  • Latest research on Soft Computing Techniques in Vision Science
  • Presents basic research extending to Visual Perception and Visual system, Cognitive Psychology, Neuroscience, Psychophysics and Ophthalmology, Linguistic Relativity, Color Vision etc.
  • Written by leading experts in the field
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About this book

This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras and other Nano optical devices with the metaphor of Nano Science and Technology. Still these systems are falling short of its computational aspect to achieve the pinnacle of human vision system. In this edited volume much attention has been given to address the coupling issues Computational Science and Vision Studies.  It is a comprehensive collection of research works addressing various related areas of Vision Science like Visual Perception and Visual system, Cognitive Psychology, Neuroscience, Psychophysics and Ophthalmology, linguistic relativity, color vision etc. This issue carries some latest developments in the form of research articles and presentations. The volume is rich of contents with technical tools for convenient experimentation in Vision Science. There are 18 research papers having significance in an array of application areas. The volume claims to be an effective compendium of computing developments like Frequent Pattern Mining, Genetic Algorithm, Gabor Filter, Support Vector Machine, Region Based Mask Filter, 4D stereo camera systems, Principal Component Analysis etc. The detailed analysis of the papers can immensely benefit to the researchers of this domain. It can be an Endeavour in the pursuit of adding value in the existing stock of knowledge in Vision Science.

Table of contents (18 chapters)

  • Genetic Algorithm Based Fuzzy Frequent Pattern Mining from Gene Expression Data

    Mishra, Debahuti (et al.)

    Pages 1-14

  • Prediction of Protein Tertiary Structure Using Genetic Algorithm

    Sindhu, G. (et al.)

    Pages 15-22

  • Hybrid Image Mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions

    Mohanty, Aswini Kumar (et al.)

    Pages 23-32

  • Handwritten Script Recognition Using DCT, Gabor Filter and Wavelet Features at Line Level

    Rajput, G. G. (et al.)

    Pages 33-43

  • Character Recognition Using 2D View and Support Vector Machine

    Patil, Vijay (et al.)

    Pages 45-54

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-642-25507-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-642-25506-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-3-642-44440-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Soft Computing Techniques in Vision Science
Editors
  • Srikanta Patnaik
  • Yeon-Mo Yang
Series Title
Studies in Computational Intelligence
Series Volume
395
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Berlin Heidelberg
eBook ISBN
978-3-642-25507-6
DOI
10.1007/978-3-642-25507-6
Hardcover ISBN
978-3-642-25506-9
Softcover ISBN
978-3-642-44440-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 222
Topics