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

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. 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. Sammon, Michael Seul Type: eBook. The only somewhat negative is that examples are for openCV 1.1. Nonetheless, it is great to have The book also contains necessary information about basic standard libraries responsible for xml processing or web pages downloading. 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. This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Language: English Released: 2000. GO Practical algorithms for image analysis: description, examples, and code. Author: Lawrence O'Gorman, Michael J. Ebook Practical algorithms for image analysis: description, examples, and code pdf by Lawrence O'Gorman, Michael J. Each section 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 with CD-ROM: Description, Examples, and 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.