Computer Vision: Principles and Practice
Elektor International Media, 2008 - Computer vision - 315 pages
Computer vision is probably the most exciting branch of image processing, and the number of applications in robotics, automation technology and quality control is constantly increasing. Unfortunately entering this research area is, as yet, not simple. Those who are interested must first go through a lot of books, publications and software libraries. With this book, however, the first step is easy. The theoretically founded content is understandable and is supplemented by many practical examples. Source code is provided with the specially developed platform-independent open source library IVT in the programming language C/C++. The use of the IVT is not necessary, but it does make for a much easier entry and allows first developments to be quickly produced.
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Introduction to the Algorithmics
Integrating Vision Toolkit
14 other sections not shown
Algorithm angle application axis bar code bilinear interpolation binarized C:\Program calculated camera image camera model capture CByte Image CMOS color image color model Computer Computer Vision const double const int coordinate system correlation data sheets driver encoding epipolar geometry epipolar lines equations example EyeVision filter mask flange focal distance focal distance function gray value grayscale image height histogram homography Hough space Hough transform IEEE illumination image coordinates image processing image sensor ImageProcessor implementation Input image installation interface Laplace operator lauf lenses light source Linux mapping matrix method module nwindowsize object recognition Online product range OpenCV OpenGL optical optimized output parameters Pedram Azad pinhole camera model pixels plabel possible pp.Segmented Images region result RGB color model rotation run-time scanner Section segmentation Setvec source code standard straight line theta threshold undistorted vector Visual window world coordinate