Paper
19 October 1987 Automated Inspection Vision Using Gray-Level Image
Kazuhiko Sumi, Keiji Nakajima, Yoshikazu Sakaue
Author Affiliations +
Abstract
We propose a new contour representation and object recognition system for visual inspection. Extracted contour is represented in two internal data. One is the edge pointer map which is a labeled edge image and the other is the edge feature list which contains various characteristics of the labeled edges pointed by the edge map. This contour representation makes the matching process fast, because the internal database suggests the next position to search and the edge list points the next list to check.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kazuhiko Sumi, Keiji Nakajima, and Yoshikazu Sakaue "Automated Inspection Vision Using Gray-Level Image", Proc. SPIE 0856, IECON '87: Industrial Applications of Robotics & Machine Vision, (19 October 1987); https://doi.org/10.1117/12.943037
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Visual process modeling

Edge detection

Feature extraction

Image processing

Inspection

Visualization

Process modeling

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