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A Computational Introduction to Digital Image Processing (Paperback, 2nd edition)
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A Computational Introduction to Digital Image Processing (Paperback, 2nd edition)
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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.
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