Practical algorithms for image analysis: description, examples, and code by 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 ebook download




Practical algorithms for image analysis: description, examples, and code Lawrence O'Gorman, Michael J. Sammon, Michael Seul ebook
Page: 299
Publisher: Cambridge University Press
Format: djvu
ISBN: 0521660653, 9780521660655


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. Ebook Practical algorithms for image analysis: description, examples, and code pdf by Lawrence O'Gorman, Michael J. The only somewhat negative is that examples are for openCV 1.1. Practical Algorithms for Image Analysis Descriptions Examples and Code 299 pages | English | ISBN: 0521660653 | 15 April 2000 | DJVU | 30.93 MB ? Buy Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code Book Reviews - This book offers guided access to a collection of algorithms. Click on image to see enlarged view. 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. Simple color-coding to show code verification results. PolySpace products use sophisticated math and analysis to prove the absence of run-time errors without the need to compile and run the code. 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. 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.

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