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




The simplest and most widely used technique in Diffusion MRI is called Diffusion Tensor Imaging (DTI). 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. Practical algorithms for image analysis: description, examples, and code 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. I thought it might be a fun challenge to work through the book in Flash and Actionscript, not by just porting over the existing code examples, but by analyzing the text and coming up with my own implementation from scratch. The only somewhat negative is that examples are for openCV 1.1. I wanted to try the same sort of analysis that a researcher working in my field might want to use. Ebook Practical algorithms for image analysis: description, examples, and code pdf by Lawrence O'Gorman, Michael J. 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. Practical algorithms for image analysis: description, examples, and code pdf free. 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 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. The results The presented source code is shown only in the form of example of implementable selected algorithm. Nonetheless, it is great to have The book also contains necessary information about basic standard libraries responsible for xml processing or web pages downloading.

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