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 Lawrence O'Gorman, Michael J. Sammon, Michael Seul ebook
ISBN: 0521660653, 9780521660655
Format: djvu
Publisher: Cambridge University Press
Page: 299

The only somewhat negative is that examples are for openCV 1.1. Topics: Digitization, processing, segmentation, projection, data structures, binary images, contour filling, thinning, curve fitting, surface fitting, 2-D graphics, polygon clipping, 3-D graphics. 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. The book has basic algorithms for many standard image processing tasks. Nonetheless, it is great to have The book also contains necessary information about basic standard libraries responsible for xml processing or web pages downloading. Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code. Practical algorithms for image analysis: description, examples, and 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. 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. Blog Entry, Practical Algorithms for Image Analysis: Descriptions, Examples, and Code (Hardcover), Dec 25, '07 9:28 AM for everyone. 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. 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. This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images.