Digital Image Processing
An Algorithmic Approach with MATLAB
1st Edition
Published on 15. October 2009
Book
Hardback
314 pages
978-1-4200-7950-0 (ISBN)
Description
Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB (R) presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB (R), without bogging down students with syntactical and debugging issues.
One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.
This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author's website.
One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.
This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author's website.
Reviews / Votes
"...This book covers a reasonably large area of the subject for there to be something for most readers. ..."-I-Programmer, January 2010
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Undergraduate
Product notice
Paper over boards
Illustrations
117 s/w Abbildungen, 14 farbige Abbildungen, 10 s/w Tabellen
10 Tables, black and white; 14 Illustrations, color; 117 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
594 gr
ISBN-13
978-1-4200-7950-0 (9781420079500)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
09/2017
1st Edition
CRC Press
€134.40
Shipment within 10-20 days
E-Book
10/2009
1st Edition
Chapman & Hall/CRC
€103.99
Available for download
E-Book
10/2009
Chapman and Hall
€103.99
Available for download
Persons
Uvais Qidwai is an assistant professor in the computer science and engineering department at Qatar University in Doha.
C.H. Chen is chancellor professor in electrical and computer engineering at the University of Massachusetts in North Dartmouth.
C.H. Chen is chancellor professor in electrical and computer engineering at the University of Massachusetts in North Dartmouth.
Content
Introduction to Image Processing and the MATLAB Environment. Image Acquisition, Types, and File I/O. Image Arithmetic. Affine and Logical Operations, Distortions, and Noise in Images. Image Transforms. Spatial and Frequency Domain Filter Design. Image Restoration and Blind Deconvolution. Image Compression. Edge Detection. Binary Image Processing. Image Encryption and Watermarking. Image Classification and Segmentation. Image-Based Object Tracking. Face Recognition. Soft Computing in Image Processing. Bibliography. Glossary. Index.