A Computational Introduction to Digital Image Processing 2nd ed. P 551 p. 21

著者：McAndrew, Alasdair

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内容の説明

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 (R), 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.

登録情報

商品コード：1032660128
出版社: Chapman & Hall/CRC
出版年月: 2021/03
ISBN-10: 0367783339
ISBN-13: 978-0-367-78333-4
出版国: アメリカ合衆国
装丁: paper/Kt./br.
媒体: 冊子
ページ数: xvi, 535 p.
ジャンル: 情報処理