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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 - Livro de bolso

2010, ISBN: 9781849966870

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Biswas, Sambhunath Lovell, Brian C.:

Bézier and Splines in Image Processing and Machine Vision - Livro de bolso

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… mais…

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Bézier and Splines in Image Processing and Machine Vision - Livro de bolso

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… mais…

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

2010, ISBN: 1849966877

Edição encadernada

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

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

2010, ISBN: 9781849966870

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

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Bezier and Splines in Image Processing and Machine Vision

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.

Dados detalhados do livro - Bezier and Splines in Image Processing and Machine Vision


EAN (ISBN-13): 9781849966870
ISBN (ISBN-10): 1849966877
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer London Ltd
264 Páginas
Peso: 0,404 kg
Língua: eng/Englisch

Livro na base de dados desde 2011-02-07T07:24:27-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2021-06-02T09:14:55-03:00 (Sao Paulo)
Número ISBN/EAN: 1849966877

Número ISBN - Ortografia alternativa:
1-84996-687-7, 978-1-84996-687-0
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: lovell, lovel
Título do livro: the vision, machine vision


Dados da editora

Autor: Sambhunath Biswas; Brian C. Lovell
Título: Bézier and Splines in Image Processing and Machine Vision
Editora: Springer; Springer London
246 Páginas
Ano de publicação: 2010-10-13
London; GB
Impresso / Feito em
Língua: Inglês
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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