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Practical algorithms for image analysis:

Practical algorithms for image analysis:

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



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


I wanted to try the same sort of analysis that a researcher working in my field might want to use. Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code. Product Description This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Topics: Digitization, processing, segmentation, projection, data structures, binary images, contour filling, thinning, curve fitting, surface fitting, 2-D graphics, polygon clipping, 3-D graphics. Simple color-coding to show code verification results. The simplest and most widely used technique in Diffusion MRI is called Diffusion Tensor Imaging (DTI). The book has basic algorithms for many standard image processing tasks. 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. 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. Click on image to see enlarged view. 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 only somewhat negative is that examples are for openCV 1.1. I often find myself writing small functions that help visualize certain image processing algorithms. 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. PolySpace products use sophisticated math and analysis to prove the absence of run-time errors without the need to compile and run the code.