A Computational Introduction to Digital Image Processing

Alasdair McAndrew

ISBN 10: 0367783339 / ISBN 13: 9780367783334

Edité par CRC Press Mär 2021, 2021

A propos de cet article

Neuware - This bestseller explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Along with MATLAB®, this second edition now includes GNU Octave and Python. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new.

N° de réf. du vendeur 9780367783334

Détails bibliographiques

• Titre: A Computational Introduction to Digital Image Processing
• Éditeur: CRC Press Mär 2021
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 0367783339
• ISBN à 13 chiffres: 9780367783334
• Reliure: Taschenbuch
• Édition: 2ème Édition
• État de l'article: Neu

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.