Title

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 Lawrence O'Gorman, Michael J. Sammon, Michael Seul ebook
Format: djvu
Publisher: Cambridge University Press
ISBN: 0521660653, 9780521660655
Page: 299

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. Language: English Released: 2000. 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. 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 with CD-ROM: Description, Examples, and Code. 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. Practical Algorithms for Image Analysis (Book 2000) - Goodreads Practical Algorithms for Image Analysis: Description, Examples, and Code [With CDROM] Practical Algorithms for Image Analysis with CD-ROM / Edition 2. The results The presented source code is shown only in the form of example of implementable selected algorithm. Author: Lawrence O'Gorman, Michael J. 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. 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. I often find myself writing small functions that help visualize certain image processing algorithms. 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. GO Practical algorithms for image analysis: description, examples, and code. Practical Algorithms for Image Analysis Descriptions Examples and Code 299 pages | English | ISBN: 0521660653 | 15 April 2000 | DJVU | 30.93 MB ? Sammon, Michael Seul Type: eBook. Product Description This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Each self-contained section projects for classroom use. The simplest and most widely used technique in Diffusion MRI is called Diffusion Tensor Imaging (DTI). I wanted to try the same sort of analysis that a researcher working in my field might want to use. 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. This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images.