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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

Nonetheless, it is great to have The book also contains necessary information about basic standard libraries responsible for xml processing or web pages downloading. Practical Algorithms for Image Analysis Descriptions Examples and Code 299 pages | English | ISBN: 0521660653 | 15 April 2000 | DJVU | 30.93 MB ? 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. 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. In no way we impose here the method of resolution on the Reader and we only provide the confirmation of a possibility of its practical implementation. The results The presented source code is shown only in the form of example of implementable selected algorithm. 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. 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. Click on image to see enlarged view. The monograph comprises proposals of new and also of known algorithms, modified by authors, for image analysis and processing, presented on the basis of example of Matlab environment with Image Processing tools. Simple color-coding to show code verification results. And now the accompanying CD-ROM contains C programs not only as source code for carrying out the book's procedures but also as executables with a graphical user interface for Windows and Linux. Each self-contained section projects for classroom use. Practical algorithms for image analysis: description, examples, and code. I often find myself writing small functions that help visualize certain image processing algorithms. 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 practical description and implementation of the most suitable procedures.