A Computational Introduction to Digital Image Processing,Second Edition is a highly regarded and accessible approach to image processing using open-source and commercial software. It offers a comprehensive introduction to the discipline,with three different computing options and modular programs written in MATLAB,GNU Octave,and Python. The text is suitable for classroom use or self-study and includes numerous examples and exercises to give students hands-on practice. Format: Paperback / softback Length: 535 pages Publication date: 31 March 2021 Publisher: Taylor & Francis Ltd A Computational Introduction to Digital Image Processing, Second Edition, delves into the realm of digital images, shedding light on their nature, acquisition, storage, and display. With a focus on a strictly elementary approach, the book encompasses a wide and profound exploration of the discipline, covering topics that require only basic mathematics.New to the Second Edition:This edition offers users three distinct computing options, in addition to MATLAB®, including GNU Octave and Python. Users can select the most suitable software based on their specific needs or seamlessly transition between systems. The programs are designed with modularity in mind, enabling greater flexibility, code reuse, and conciseness. Furthermore, this edition features updated images, revised diagrams, and new discussions on edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and various other topics.Principles, Practices, and Programming:Drawing from the authors' renowned image processing courses, this bestselling text serves as an excellent resource for classroom instruction or self-study. It elucidates the implementation of imaging techniques in MATLAB, GNU Octave, and Python, employing a straightforward and accessible style. The text includes numerous examples and exercises to provide students with hands-on practice and a deeper understanding of the material.By exploring the fundamentals of digital image processing, this comprehensive second edition equips readers with the knowledge and tools necessary to manipulate, analyze, and interpret images in various applications. Whether you are a student, researcher, or professional seeking to expand your expertise in this field, A Computational Introduction to Digital Image Processing, Second Edition, is an invaluable resource that will enhance your understanding and proficiency. Weight: 1021g Dimension: 254 x 178 (mm) ISBN-13: 9780367783334 Edition number: 2 New edition
