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


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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




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. 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. Practical algorithms for image analysis: description, examples, and code pdf free. The only somewhat negative is that examples are for openCV 1.1. GO Practical algorithms for image analysis: description, examples, and code. Language: English Released: 2000. Practical algorithms for image analysis: description, examples, and code by Lawrence O'Gorman, Michael J. Sammon, Michael Seul Type: eBook. 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. Ebook Practical algorithms for image analysis: description, examples, and code pdf by Lawrence O'Gorman, Michael J. Author: Lawrence O'Gorman, Michael J. Blog Entry, Practical Algorithms for Image Analysis: Descriptions, Examples, and Code (Hardcover), Dec 25, '07 9:28 AM for everyone. 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 practical description and implementation of the most suitable procedures.