Digital Image Processing: An Algorithmic Approach with MATLAB

by Uvais Qidwai, C.H. Chen

Overview

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB^® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB^®, 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.

Product Details

ISBN-13:	9781138115187
Publisher:	Taylor & Francis
Publication date:	09/14/2017
Series:	Chapman & Hall/CRC Textbooks in Computing
Pages:	314
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

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.

Table of Contents

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.

Editorial Reviews

"…This book covers a reasonably large area of the subject for there to be something for most readers. …"
—I-Programmer, January 2010

From the Publisher