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Practical algorithms for image analysis: description, examples, and code Lawrence O'Gorman, Michael J. Sammon, Michael Seul
Publisher: Cambridge University Press

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. The results The presented source code is shown only in the form of example of implementable selected algorithm. Topics: Digitization, processing, segmentation, projection, data structures, binary images, contour filling, thinning, curve fitting, surface fitting, 2-D graphics, polygon clipping, 3-D graphics. PolySpace products use sophisticated math and analysis to prove the absence of run-time errors without the need to compile and run the code. The book has basic algorithms for many standard image processing tasks. Click on image to see enlarged view. Simple color-coding to show code verification results. 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 with CD-ROM: Description, Examples, and Code. 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 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. Practical algorithms for image analysis: description, examples, and code. This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images.