Bézier and Splines in Image Processing and Machine Vision. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer London, 2008
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Descrizione dell’articolo da parte del venditore
Bézier and Splines in Image Processing and Machine Vision | Brian C. Lovell (u. a.) | Buch | xviii | Englisch | 2008 | Springer London | EAN 9781846289569 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Codice articolo 101995447
- Titolo
- Bézier and Splines in Image Processing and Machine Vision
- Autore
- Brian C. Lovell (u. a.)
- Editore
- Springer London
- Anno di pubblicazione
- 2008
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 1846289564
- ISBN 13
- 9781846289569
- Peso dell'articolo
- 519 grammi
- Dimensioni
- 241 x 160 x 20 mm
- Cataloghi dei venditori
- Bücher
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.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
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.
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