Digital Image Processing Algorithms and Applications

Features

• Cover Type: Hard Cover with 0360 pages
• Published by: Wiley-Interscience
• Edition: 1st Edition February 4, 2000
• Written in: English
• ISBN 10 Number: 0471377392
• ISBN 13 Number: 978-0471377399
• Book Dimensions: 9.6 x 6.4 x 1 inches
• Weighs: 1.8 pounds

Product Description
A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology

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.

Back Cover Copy
A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology

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.

Reader Reviews
Many topics in image enhancement, analysis, compression and description. The algorithms are usually 1 page or less of C code. I'd prefer more intuitive descriptions of the ideas. The formulas and computer code are usually harder to read than for the reader to come up with himself, if the basic idea is expressed well in English. Could be smoother presentation. For example, in histogram equalization, Pitas brings up pdf's then says the histogram is an approximation to the pdf. But there really is nothing to be gained intuitively or otherwise by bringing the pdf into the discussion at all -- we're really just equalizing the histogram.