Skip to main content

2008 | Buch

Bézier and Splines in Image Processing and Machine Vision

herausgegeben von: Sambhunath Biswas, Brian C. Lovell

Verlag: Springer London

insite
SUCHEN

Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

Early Background

Frontmatter
1. Bernstein Polynomial and Béezier-Bernstein Spline
Sambhunath Biswas, Brian C. Lovell
2. Image Segmentation
Sambhunath Biswas, Brian C. Lovell
3. 1-d B-B Spline Polynomial and Hilbert Scan for Graylevel Image Coding
Sambhunath Biswas, Brian C. Lovell
4. Image Compression
Sambhunath Biswas, Brian C. Lovell

Intermediate Steps

Frontmatter
5. B-Splines and Its Applications
Sambhunath Biswas, Brian C. Lovell
6. Beta-Splines: A Flexible Model
Sambhunath Biswas, Brian C. Lovell

Advanced Methodologies

Frontmatter
7. Discrete Splines and Vision
Sambhunath Biswas, Brian C. Lovell
Spline Wavelets: Construction, Implication, and Uses
Sambhunath Biswas, Brian C. Lovell
9. Snakes and Active Contours
Sambhunath Biswas, Brian C. Lovell
10. Globally Optimal Energy Minimization Techniques
Sambhunath Biswas, Brian C. Lovell
Backmatter
Metadaten
Titel
Bézier and Splines in Image Processing and Machine Vision
herausgegeben von
Sambhunath Biswas
Brian C. Lovell
Copyright-Jahr
2008
Verlag
Springer London
Electronic ISBN
978-1-84628-957-6
Print ISBN
978-1-84628-956-9
DOI
https://doi.org/10.1007/978-1-84628-957-6