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Bézier and Splines in Image Processing and Machine Vision - Biswas, Sambhunath Lovell, Brian C.
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Bézier and Splines in Image Processing and Machine Vision - Paperback

2010, ISBN: 9781849966870

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[ED: Softcover], [PU: Springer, Berlin], This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Pol… More...

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Bézier and Splines in Image Processing and Machine Vision - Biswas, Sambhunath Lovell, Brian C.
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Biswas, Sambhunath Lovell, Brian C.:

Bézier and Splines in Image Processing and Machine Vision - Paperback

2010, ISBN: 9781849966870

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[ED: Softcover], [PU: Springer, Berlin], This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Pol… More...

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Bézier and Splines in Image Processing and Machine Vision - Paperback

2010

ISBN: 9781849966870

Digital image processing and machine vision have grown considerably during the last few decades. Of the various techniques, developed so far, splines play a significant role in many of th… More...

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Bézier and Splines in Image Processing and Machine Vision - Biswas, Sambhunath; Lovell, Brian C.
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Biswas, Sambhunath; Lovell, Brian C.:
Bézier and Splines in Image Processing and Machine Vision - Paperback

2010, ISBN: 1849966877

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Softcover reprint of hardcover 1st ed. 2008 Kartoniert / Broschiert Bildverarbeitung, 3D; Active contour; Beta splines; Image segmentation; Motion tracking; Shading; Textur; Wavelet spl… More...

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Bezier and Splines in Image Processing and Machine Vision - Sambhunath Biswas; Brian C. Lovell
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Sambhunath Biswas; Brian C. Lovell:
Bezier and Splines in Image Processing and Machine Vision - Paperback

2010, ISBN: 9781849966870

Buch, Softcover, Softcover reprint of hardcover 1st ed. 2008, [PU: Springer London Ltd], Springer London Ltd, 2010

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Details of the book
Bezier and Splines in Image Processing and Machine Vision
Author:
Title:
ISBN:

1849966877


This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Polynomial in splines, detailed coverage of Beta-splines applications which are relatively new, Splines in motion tracking, various deformative models and their uses. Finally the book covers wavelet splines which are efficient and effective in different image applications.

Details of the book - Bezier and Splines in Image Processing and Machine Vision


EAN (ISBN-13): 9781849966870
ISBN (ISBN-10): 1849966877
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer London Ltd
264 Pages
Weight: 0,404 kg
Language: eng/Englisch

Book in our database since 2011-02-07T04:24:27-05:00 (New York)
Detail page last modified on 2021-06-02T08:14:55-04:00 (New York)
ISBN/EAN: 1849966877

ISBN - alternate spelling:
1-84996-687-7, 978-1-84996-687-0
Alternate spelling and related search-keywords:
Book author: lovell, lovel
Book title: the vision, machine vision

Information from Publisher

Author: Sambhunath Biswas; Brian C. Lovell
Title: Bézier and Splines in Image Processing and Machine Vision
Publisher: Springer; Springer London
246 Pages
Publishing year: 2010-10-13
London; GB
Printed / Made in
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XVIII, 246 p. 73 illus.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; 3D; Active contour; Beta splines; Image segmentation; Motion tracking; Shading; Textur; Wavelet splines; algorithms; computer graphics; image processing; machine vision; wavelets; Computer Vision; Computer Imaging, Vision, Pattern Recognition and Graphics; Bildverarbeitung; BB; EA

Digital image processing and machine vision have grown considerably during the last few decades. Of the various techniques, developed so far, splines play a significant role in many of them. This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Polynomial in splines, detailed coverage of Beta-splines applications which are relatively new, Splines in motion tracking, various deformative models and their uses.

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

Part I Early Background.- 1 Bernstein Polynomial and Bézier-Bernstein Spline.- Significance of Bernstein Polynomial in Splines.- 2 Image Segmentation.- Two Different Concepts of Segmentation.- Contour Based Segmentation.- Region Based Segmentation.- 3 1-d B-B Spline Polynomial and Hilbert Scan for Graylevel Image Coding.- Hilbert Scanned Image.- Shortcomings of Bernstein Polynomial and Error of Approximation.- 4 Image Compression.- SLIC: Sub-image Based Lossy Image Compression.- Part II Intermediate Steps.- 5 B-Splines and its Applications.- B-Spline Function.- 6 Beta-Splines: A Flexible Model.- Beta-Spline Curve.- 7 Discrete Spline and Vision.- Smoothing Discrete Spline and Vision.- Cardinal B-spline Basis and Riesz Basis.- 8 Spline Wavelets: Construction, Implication and Uses.- Cardinal B-spline Basis and Riesz Basis.- 9 Snakes and Active Contours.- Splines and Energy Minimisation Techniques.- Part III Advanced Methodologies.- 10 Globally Optimal Energy Minimisation Techinques.- Globally Minimal Surfaces (GMS).

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.

Digital image processing and machine vision have both grown considerably during the last few decades. Of the various techniques that have been so far developed, splines play a significant role in a number. This book, which will be essential reading for graduate researchers, deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Polynomial in splines, detailed coverage of beta-splines applications which are relatively new, splines in motion tracking, various deformative models and their uses. Finally the book covers wavelet splines which are efficient and effective in different image applications.


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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