A Computational Introduction to Digital Image Processing (Hardcover, 3rd Edition)

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.

Table of Contents

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.

General

Imprint:	Taylor & Francis
Country of origin:	Canada
Release date:	November 2015
First published:	2016
Authors:	Alasdair McAndrew
Dimensions:	254 x 178 x 36mm (L x W x T)
Format:	Hardcover
Pages:	560
Edition:	3rd Edition
ISBN-13:	978-1-4822-4732-9
Categories:	Books > Computing & IT > Computer certification > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-4822-4732-1
Barcode:	9781482247329

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