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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
Publisher: Cambridge University Press
Page: 299
Format: djvu
ISBN: 0521660653, 9780521660655

Each self-contained section projects for classroom use. 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. I wanted to try the same sort of analysis that a researcher working in my field might want to use. 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 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. How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health . Simple color-coding to show code verification results. The simplest and most widely used technique in Diffusion MRI is called Diffusion Tensor Imaging (DTI). Click on image to see enlarged view. 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 description and implementation of the most suitable procedures in easy-to-use form.