Title :
Parallel/Pipelined processor dedicated to visual recognition
Author_Institution :
General Motors Research Laboratories, Warren, Michigan
Abstract :
A parallel/pipelined processor has been developed for visual object recognition. It detects the position and orientation of the top workpiece in case workpieces are overlapping. The processor consists of a real-time edge detector and a high-speed image correlator. The real-time edge detector detects contours of workpieces at the video rate of a solid-state TV camera. It is relatively insensitive to changes of ambient light through the use of a logarithmic Sobel operator instead of a standard Sobel operator. The high-speed image correlator detects the position and orientation of the top workpiece which has a complete contour without any hidden portion. Parallel and pipeline concepts were applied to make the image correlator carry out more than 100 million pixel-level operations per second.
Keywords :
Brightness; Cameras; Correlators; Detectors; Feature extraction; Image edge detection; Image segmentation; Machine vision; Solid state circuits; TV;
Conference_Titel :
Robotics and Automation. Proceedings. 1985 IEEE International Conference on
DOI :
10.1109/ROBOT.1985.1087354