Table of contents

  1. Front Matter
    Pages I-XVII
  2. Early Background

    1. Front Matter
      Pages 1-1
    2. Sambhunath Biswas, Brian C. Lovell
      Pages 3-32
    3. Sambhunath Biswas, Brian C. Lovell
      Pages 33-55
    4. Sambhunath Biswas, Brian C. Lovell
      Pages 57-81
    5. Sambhunath Biswas, Brian C. Lovell
      Pages 83-106
  3. Intermediate Steps

    1. Front Matter
      Pages 107-107
    2. Sambhunath Biswas, Brian C. Lovell
      Pages 109-131
    3. Sambhunath Biswas, Brian C. Lovell
      Pages 133-142
  4. Advanced Methodologies

    1. Front Matter
      Pages 143-143
    2. Sambhunath Biswas, Brian C. Lovell
      Pages 145-161
    3. Sambhunath Biswas, Brian C. Lovell
      Pages 163-185
    4. Sambhunath Biswas, Brian C. Lovell
      Pages 187-212
    5. Sambhunath Biswas, Brian C. Lovell
      Pages 213-233
  5. Back Matter
    Pages 235-246

About this book

Introduction

Digital image processing and machine vision have grown considerably during the last few decades. Of the various techniques, developed so far splines play a positive and significant role in many of them. Strong mathematical theory and ease of implementations is one of the keys of their success in many research issues.

This book deals with various image processing and machine vision problems efficiently with splines and includes:

• the significance of Bernstein Polynomial in splines

• effectiveness of Hilbert scan for digital images

• detailed coverage of Beta-splines, which are relatively new, for possible future applications

• discrete smoothing splines and their strength in application

• snakes and active contour models and their uses

• the significance of globally optimal contours and surfaces

Finally the book covers wavelet splines which are efficient and effective in different image applications.

Dr Biswas is a system analyst at the Indian Statistical Institute, Calcutta where he teaches Machine Vision in M Tech (Computer Science). His research interests include image processing, computer vision, computer graphics, pattern recognition, neural networks and wavelet image-data analysis.

Professor Lovell is a Research Leader in National ICT Australia and Research Director of the Intelligent Real-Time Imaging and Sensing Research Group at the University of Queensland. His research interests are currently focussed on optimal image segmentation, real-time video analysis and face recognition.

Keywords

3D Active contour Beta splines Image segmentation Motion tracking Shading Textur Wavelet splines algorithms computer graphics image processing machine vision wavelets

Editors and affiliations

  • Sambhunath Biswas
    • 1
  • Brian C. Lovell
    • 2
  1. 1.Indian Statistical InstituteKolkataIndia
  2. 2.The University of QueenslandBrisbaneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84628-957-6
  • Copyright Information Springer-Verlag London Limited 2008
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84628-956-9
  • Online ISBN 978-1-84628-957-6
  • About this book