Paper
22 March 1988 High-Speed Pattern Recognition System Based On A Template Matching
Yutaka Ishizaka, Shoji Shimomura
Author Affiliations +
Proceedings Volume 0849, Automated Inspection and High-Speed Vision Architectures; (1988) https://doi.org/10.1117/12.942843
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
This paper introduces a pattern recognition system based on a template matching method in industrial applications. The system can inspect various objects, after correcting the orientation. The processing time is less than 80 ms, which includes determining of the orientation of those objects, correcting of the orientation, and the template matching. It is almost the same as or less than that of the other systems which allow no rotation. In order to correct the orientation at high speed, following three techniques have been developed. Firstly, a high speed affine transformation circuit executes rotation operation in less than 8 ms for a 256 x 256 image. Secondly, other special circuits extract some features of a binary image to determine the orientation of object. Thirdly, the local-scan hardware applied to the first and second circuits scan the effective area at the scanning rate of 8 MHz. The system has three algorithms of determining the orientation. It is determined by means of the direction of the principal axis of inertia, the binary image along a circumference, and a pair of straight lines. These algorithms are selectable according to the objects. The orientation is determined with the accuracy better than +0.5 degree.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yutaka Ishizaka and Shoji Shimomura "High-Speed Pattern Recognition System Based On A Template Matching", Proc. SPIE 0849, Automated Inspection and High-Speed Vision Architectures, (22 March 1988); https://doi.org/10.1117/12.942843
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Inspection

Image segmentation

Image processing algorithms and systems

Image storage

Algorithm development

Binary data

Pattern recognition

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