Digital Image Processing Algorithms and Applications - Info and Reading Options
By Ioannis Pitas

"Digital Image Processing Algorithms and Applications" is published by Wiley-Interscience in February 4, 2000, it has 360 pages and the language of the book is English.
“Digital Image Processing Algorithms and Applications” Metadata:
- Title: ➤ Digital Image Processing Algorithms and Applications
- Author: Ioannis Pitas
- Language: English
- Number of Pages: 360
- Publisher: Wiley-Interscience
- Publish Date: February 4, 2000
“Digital Image Processing Algorithms and Applications” Subjects and Themes:
- Subjects: Computer algorithms - Image processing - Digital techniques - Algorithms - Image analysis
Edition Identifiers:
- The Open Library ID: OL7616004M - OL7951623W
- Online Computer Library Center (OCLC) ID: 42786294
- Library of Congress Control Number (LCCN): 99056959
- ISBN-13: 9780471377399
- ISBN-10: 0471377392
- All ISBNs: 0471377392 - 9780471377399
AI-generated Review of “Digital Image Processing Algorithms and Applications”:
Snippets and Summary:
Human vision is one of the most important and complex perception mechanisms.
"Digital Image Processing Algorithms and Applications" Description:
The Open Library:
"With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community.". "The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C-code) over the Internet makes the book an invaluable self-study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines."--BOOK JACKET.
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