Machine vision may be defined as the automatic analysis of images by computer with the aim of controlling machines and monitoring real-world processes. This edition contains material on artificial neural networks, mathematical morphology, motion, invariance, texture analysis, x-ray inspection and foreign object detection. Intermediate level vision is examined in depth (especially Hough transforms), and automated visual inspection is discussed. The author considers theoretical aspects as well as practical applications, including perspective invariants and robust statistics.

Machine Vision : Theory, Algorithms, Practicalities, Used [Hardcover]