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




Simple color-coding to show code verification results. 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. How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health . Each section treats a single operation, describing 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 wanted to try the same sort of analysis that a researcher working in my field might want to use. Click on image to see enlarged view. Topics: Digitization, processing, segmentation, projection, data structures, binary images, contour filling, thinning, curve fitting, surface fitting, 2-D graphics, polygon clipping, 3-D graphics. Practical algorithms for image analysis: description, examples, and code. 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. Product Description This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code. The book has basic algorithms for many standard image processing tasks. The simplest and most widely used technique in Diffusion MRI is called Diffusion Tensor Imaging (DTI). PolySpace products use sophisticated math and analysis to prove the absence of run-time errors without the need to compile and run the code. 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.

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