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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

The book has basic algorithms for many standard image processing tasks. I often find myself writing small functions that help visualize certain image processing algorithms. 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. Ebook Practical algorithms for image analysis: description, examples, and code pdf by Lawrence O'Gorman, Michael J. PolySpace products use sophisticated math and analysis to prove the absence of run-time errors without the need to compile and run the code. Simple color-coding to show code verification results. 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. Topics: Digitization, processing, segmentation, projection, data structures, binary images, contour filling, thinning, curve fitting, surface fitting, 2-D graphics, polygon clipping, 3-D graphics. The only somewhat negative is that examples are for openCV 1.1. Click on image to see enlarged view.