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Soft Computing Techniques in Vision Science

  • Book
  • © 2012

Overview

Editors:
  1. Srikanta Patnaik

    1. , Computer Science and Engineering, SOA University, Bhubaneswar, India

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  2. Yeon-Mo Yang

    1. , School of Electronic Engineering, Kumoh National Institute of Technology, Gumi, Korea, Republic of (South Korea)

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    You can also search for this editor in PubMed   Google Scholar

  • 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

Part of the book series: Studies in Computational Intelligence (SCI, volume 395)

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Table of contents (18 chapters)

  1. Front Matter

    Pages 1-11
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  2. Genetic Algorithm Based Fuzzy Frequent Pattern Mining from Gene Expression Data

    • Debahuti Mishra, Shruti Mishra, Sandeep Kumar Satapathy, Srikanta Patnaik
    Pages 1-14

  3. Prediction of Protein Tertiary Structure Using Genetic Algorithm

    • G. Sindhu, S. Sudha
    Pages 15-22

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

    • Aswini Kumar Mohanty, P. K. Champati, Manas Rajan Senapati, Saroj Kumar Lena
    Pages 23-32

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

    • G. G. Rajput, H. B. Anita
    Pages 33-43

  6. Character Recognition Using 2D View and Support Vector Machine

    • Vijay Patil, Sanjay Shimpi, Balaji Bombade
    Pages 45-54

  7. Automatic Localization of Pupil Using Histogram Thresholding and Region Based Mask Filter

    • Narayan Sahoo, Ganeswara Padhy, Nilamani Bhoi, Pranati Rautaray
    Pages 55-62

  8. A Comparative Analysis on Edge Detection of Colloid Cyst: A Medical Imaging Approach

    • Shreetam Behera, Miihir Narayan Mohanty, Srikanta Patnaik
    Pages 63-85

  9. Automatic Localization and Segmentation of Left Ventricle from Short Axis Cine MR Images: An Image Driven Method

    • G. Dharanibai, J. P. Raina
    Pages 87-99

  10. Performance Analysis of Neural Network and ANFIS in Brain MR Image Classification

    • R. Sri Meena, P. Revathi, H. M. Reshma Begum, Ajith B. Singh
    Pages 101-113

  11. Hybrid Algorithm Using Fuzzy C-Means and Local Binary Patterns for Image Indexing and Retrieval

    • Dilkeshwar Pandey, Rajive Kumar
    Pages 115-125

  12. Artificial Neural Network (ANN) Based Object Recognition Using Multiple Feature Sets

    • Manami Barthakur, Tapashi Thakuria, Kandarpa Kumar Sarma
    Pages 127-135

  13. Protein Structure Prediction Using Multiple Artificial Neural Network Classifier

    • Hemashree Bordoloi, Kandarpa Kumar Sarma
    Pages 137-146

  14. An Intelligent Agent Based Intrusion Detection System Using Fuzzy Rough Set Based Outlier Detection

    • N. Jaisankar, S. Ganapathy, P. Yogesh, A. Kannan, K. Anand
    Pages 147-153

  15. Application of Ant Colony Algorithm for Classification and Rule Generation of Data

    • Preeti Tiwari, Bhupendra Verma
    Pages 155-170

  16. Immunised Navigational Controller for Mobile Robot Navigation

    • Dayal R. Parhi, B. B. V. L. Deepak, Jagan Mohana, Rao Ruppa, Meera Nayak
    Pages 171-182

  17. Modified A* Algorithm for Mobile Robot Path Planning

    • Anshika Pal, Ritu Tiwari, Anupam Shukla
    Pages 183-193

  18. Artificial Immune System Based Path Planning of Mobile Robot

    • P. K. Das, S. K. Pradhan, S. N. Patro, B. K. Balabantaray
    Pages 195-207

  19. Facial Feature Extraction Using a 4D Stereo Camera System

    • Soumya Kanti Datta, Philip Morrow, Bryan Scotney
    Pages 209-218

  20. Back Matter

    Pages 0--1
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Keywords

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.

Editors and Affiliations

  • , Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  • , School of Electronic Engineering, Kumoh National Institute of Technology, Gumi, Korea, Republic of (South Korea)

    Yeon-Mo Yang

Bibliographic Information

  • Book Title: Soft Computing Techniques in Vision Science

  • Editors: Srikanta Patnaik, Yeon-Mo Yang

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-25507-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-25506-9Published: 15 February 2012

  • Softcover ISBN: 978-3-642-44440-1Published: 17 April 2014

  • eBook ISBN: 978-3-642-25507-6Published: 10 February 2012

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 222

  • Topics: Computational Intelligence, Image Processing and Computer Vision

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