
Introduction to Digital Image Processing
With MATLAB
Alasdair McAndrew - Collection Course Technology
Résumé
Introduction to Digital Image Processing with MATLAB provides an introduction to the field using a strong connection between theory and practice. Using MATLAB and its Image Processing Toolbox as the image processing environment, this text thoroughly explores topics such as matrices, spatial filtering, the Fourier transform, and morphology. All chapters include a plethora of examples, some of which are MATLAB-based, and all example images are accompanied by the appropriate MATLAB commands.
- MATLAB and its Image Processing Toolbox provide a flexible, easy-to-use environment for image processing.
- A discrete approach connects the calculus-based theory with its discrete implementation.
- Ample example images in each chapter are accompanied by MATLAB commands.
- Extensive exercise sets offer several types of hands-on practice.
L'auteur - Alasdair McAndrew
Alasdair McAndrew is a Senior Lecturer at Victoria University of Technology in Melbourne, Australia. He is a graduate of both the University of Melbourne and of Monash University, from which he received his PhD in 1996. His research in image processing has involved the investigation of topological tools for the analysis of multidimensional images.
Sommaire
- Introduction
- Images and MATLAB
- Image Display
- Point Processing
- Neighborhood Processing
- Image Geometry
- The Fourier Transform
- Image Restoration
- Image Segmentation
- Mathematical Morphology
- Image Topology
- Shapes and Boundaries
- Color Processing
- Image Coding and Compression
- Wavelets
- Special Effects
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Thomson |
Auteur(s) | Alasdair McAndrew |
Collection | Course Technology |
Parution | 14/05/2004 |
Nb. de pages | 510 |
Format | 16,5 x 24 |
Couverture | Relié |
Poids | 850g |
Intérieur | Noir et Blanc |
EAN13 | 9780534400118 |
ISBN13 | 978-0-534-40011-8 |
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