A Computational Introduction to Digital Image Processing

Alasdair McAndrew

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English

Chapman & Hall/CRC
31 March 2021

Applied mathematics; Electrical engineering; Environmental science, engineering & technology; Computing: general; Image processing

Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software

A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline.

New to the Second Edition

This second edition provides users with three different computing options. Along with MATLAB®, this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics.

Principles, Practices, and Programming

Based on the author’s successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material.

By: Alasdair McAndrew
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Edition: 2nd edition
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.880kg
ISBN: 9780367783334
ISBN 10: 0367783339
Pages: 560
Publication Date: 31 March 2021
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

Introduction. Images Files and File Types. 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. Appendices. Bibliography. Index.

Alasdair McAndrew is a senior lecturer and discipline leader in mathematics and physics at Victoria University in Melbourne, Australia. His teaching and research interests include image processing, cryptography, mathematics, and mathematics education. An avid technophile, he is the author of the CRC Press book Introduction to Cryptography with Open-Source Software. He holds a PhD from Monash University.

Reviews for A Computational Introduction to Digital Image Processing

"""This textbook does an excellent job covering the basics of image processing. I highly recommend it."" —Reza Malek-Madani, Professor of Mathematics, US Naval Academy ""This book is the most concise and readable introductory text on digital image processing I have ever encountered. It provides a gentle introduction to the field with little mathematics and plenty of examples. Each topic is clearly explained and can be practiced using ready-made computer programs written in three programming languages (MATLAB, Octave, and Python)."" —Mahamed G.H. Omran, PhD, Gulf University for Science & Technology (GUST), Kuwait"