Paper
5 April 1985 A Computer Vision System For Identification Of Overlapping Workpieces
Man- li Zhou, Guang- You Xu, King-Sun Fu
Author Affiliations +
Proceedings Volume 0548, Applications of Artificial Intelligence II; (1985) https://doi.org/10.1117/12.948406
Event: 1985 Technical Symposium East, 1985, Arlington, United States
Abstract
This paper presents a computer vision system for identification of overlapping workpieces. The system consists of preprocessing, model training and workpiece separation. To perform workpiece separation, structure information of both boundary and shadow is utilized. The proposed separation procedure consists of two steps. The first step locates the position and the orientation of the workpieces and groups the segments belonging to the same workpiece together for further use. The second step identifies the top workpiece through a hypothesis and verification procedure. The hypothesis about the top workpiece is based on the information from the first step. The inside edge, which contains partial boundary of the top workpiece, is used to verify the hypothesis. A database is established for representing the structure and geometric properties of the workpieces. Three frames represent outer boundary , inside edge and a single workpiece model respectively, and they compose a three-frame system. Experimental results are presented for the scenes with two or three overlapping workpieces.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Man- li Zhou, Guang- You Xu, and King-Sun Fu "A Computer Vision System For Identification Of Overlapping Workpieces", Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); https://doi.org/10.1117/12.948406
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Cited by 1 scholarly publication.
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KEYWORDS
Computing systems

Image segmentation

Artificial intelligence

Evolutionary algorithms

Computer vision technology

Edge detection

Machine vision

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