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



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


The simplest and most widely used technique in Diffusion MRI is called Diffusion Tensor Imaging (DTI). How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health . Each self-contained section projects for classroom use. 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. The book has basic algorithms for many standard image processing tasks. 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. Ebook Practical algorithms for image analysis: description, examples, and code pdf by Lawrence O'Gorman, Michael J. Practical algorithms for image analysis: description, examples, and code. 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. 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. The only somewhat negative is that examples are for openCV 1.1. 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. I wanted to try the same sort of analysis that a researcher working in my field might want to use. Topics: Digitization, processing, segmentation, projection, data structures, binary images, contour filling, thinning, curve fitting, surface fitting, 2-D graphics, polygon clipping, 3-D graphics. Nonetheless, it is great to have The book also contains necessary information about basic standard libraries responsible for xml processing or web pages downloading. 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.