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Practical algorithms for image analysis:

Practical algorithms for image analysis: description, examples, and code. Lawrence O'Gorman, Michael J. Sammon, Michael Seul

Practical algorithms for image analysis: description, examples, and code


Practical.algorithms.for.image.analysis.description.examples.and.code.pdf
ISBN: 0521660653,9780521660655 | 299 pages | 8 Mb


Download Practical algorithms for image analysis: description, examples, and code



Practical algorithms for image analysis: description, examples, and code Lawrence O'Gorman, Michael J. Sammon, Michael Seul
Publisher: Cambridge University Press




PolySpace products use sophisticated math and analysis to prove the absence of run-time errors without the need to compile and run the code. Drawing on their long experience as users and developers of image analysis algorithms and software, the authors present a description and implementation of the most suitable procedures in easy-to-use form. Colophon Some code samples are actually incorrect implementations of the given algorithm and there are antipatterns like string sql concatenation in the code without a warning comment to the reader to remind them it's a bad practice. Simple color-coding to show code verification results. Practical Algorithms for Image Analysis (Book 2000) - Goodreads Practical Algorithms for Image Analysis: Description, Examples, and Code [With CDROM] Practical Algorithms for Image Analysis with CD-ROM / Edition 2. Each section treats a single operation, describing The accompanying CD-ROM features C programs not only as source code for carrying out the procedures, but also as executables with a graphical user interface for Windows and Linux. Practical algorithms for image analysis: description, examples, and code. Practical Algorithms for Image Analysis Descriptions Examples and Code 299 pages | English | ISBN: 0521660653 | 15 April 2000 | DJVU | 30.93 MB ? Nonetheless, it is great to have The book also contains necessary information about basic standard libraries responsible for xml processing or web pages downloading. Each self-contained section I appreciated the book set-up: each section describes one single task, describes the problem, gives an example, discusses a solution given in literature, and presents the input / output / options for the C code. Drawing on their long experience as users and developers of image analysis algorithms and software, the authors present a practical description and implementation of the most suitable procedures. Click on image to see enlarged view.