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Digital Image Processing Algorithms and Applications, by Ioannis Pitas
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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.
- Sales Rank: #1010188 in Books
- Published on: 2000-02-04
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.43" h x 1.01" w x 6.38" l, 1.71 pounds
- Binding: Hardcover
- 360 pages
From the Back Cover
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.
About the Author
I. PITAS, PhD, is a professor in the Department of Informatics at the Aristotle University of Thessaloniki, Greece.
Most helpful customer reviews
8 of 8 people found the following review helpful.
a decent book
By Adam Buecher
This book gives a good summary of theory as well as algorithm (in C code written to illustrate the algorithm rather than optimal performance). If you are looking for a high-level book that throughly explains theory then this is not the one. If you want theory and some example code then this is a good buy. The bibliography at the end of each chapter gives great pointers of where to go for more detailed theory. I would recommend this to students in image processing or professionals who have to acquire image processing skills.
My only major complaint is the low quality example pictures. They are small and all in black and white. Otherwise I would have given this book 4 stars.
1 of 1 people found the following review helpful.
Rare IP book with C code
By Jose I. Miranda
Hi:
This is one of the rare books on image processing that delights the reader with REAL computer language code: C. I classify it as a MUST HAVE. The author presents the basics on image processing algorithms: frequency domain - FFT, discrete cosine; spatial domain - filters, enhancement, edge detection; image compression and image segmentation. You find a combination of formulas, techniques background and C code, directly related to the formulas.
The C code resembles Fortran programmers, with the use of uppercase (N1, N2, MM, etc.), one character variables (N, M), but it's no sin. You can fix it!
This is one of my favored book on DIP. If you buy this book, you will not repent. By far, a good buy.
2 of 3 people found the following review helpful.
covers a lot, sometimes awkwardly
By Edward R. Oswalt
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.
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