Title :
Industrial image processing by means of an image recognition integrated system
Author :
Persoon, Eric ; Nijholt, Geert ; Maguire, Gerry ; O´Brien, John
Author_Institution :
Philips Res. Lab., Eindhoven, Netherlands
Abstract :
An overview of the requirements for industrial applications of computer vision is given. A method called multilevel input binary template matching, which applies binary template matching to gray-level images, is presented. With this method, a vision system can be tailored to the difficulty of the individual computer-vision application while maintaining high speed and high reliability in all cases. A full custom VLSI specially designed for binary template matching is discussed. This dedicated VLSI chip, called IRIS, has a configurable kernel up to a size of 1024 elements for 1-D or up to 32×32 elements for 2-D, and has integrated line buffers. Some application examples from the field of industrial automation are presented
Keywords :
VLSI; application specific integrated circuits; computer vision; computerised pattern recognition; digital signal processing chips; IRIS; VLSI; computer vision; computerised pattern recognition; gray-level images; industrial image processing; multilevel input binary template matching; Application software; Computer applications; Computer industry; Computer vision; Image processing; Image recognition; Impedance matching; Machine vision; Maintenance; Very large scale integration;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.119390
