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Bézier and Splines in Image Processing and Machine Vision

Authors: Biswas, Sambhunath, Lovell, Brian C.

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  • Examines the various uses of splines in the area of Image Processing and Machine Vision
  • Includes all significant splines as well as the latest one - the wavelet spline
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eBook 107,09 €
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  • ISBN 978-1-84628-957-6
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  • Included format: PDF
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  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-1-84628-956-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 135,19 €
price for Spain (gross)
  • ISBN 978-1-84996-687-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Bernstein Polynomial and Béezier-Bernstein Spline

    Pages 3-32

    Biswas, Sambhunath (et al.)

  • Image Segmentation

    Pages 33-55

    Biswas, Sambhunath (et al.)

  • 1-d B-B Spline Polynomial and Hilbert Scan for Graylevel Image Coding

    Pages 57-81

    Biswas, Sambhunath (et al.)

  • Image Compression

    Pages 83-106

    Biswas, Sambhunath (et al.)

  • B-Splines and Its Applications

    Pages 109-131

    Biswas, Sambhunath (et al.)

Buy this book

eBook 107,09 €
price for Spain (gross)
  • ISBN 978-1-84628-957-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-1-84628-956-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 135,19 €
price for Spain (gross)
  • ISBN 978-1-84996-687-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Bézier and Splines in Image Processing and Machine Vision
Authors
Copyright
2008
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84628-957-6
DOI
10.1007/978-1-84628-957-6
Hardcover ISBN
978-1-84628-956-9
Softcover ISBN
978-1-84996-687-0
Edition Number
1
Number of Pages
XVIII, 246
Number of Illustrations
73 b/w illustrations
Topics