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Proceedings Paper

A Computer Vision System For Identification Of Overlapping Workpieces
Author(s): Man- li Zhou; Guang- You Xu; King-Sun Fu
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Paper 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.

Paper Details

Date Published: 5 April 1985
PDF: 8 pages
Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); doi: 10.1117/12.948406
Show Author Affiliations
Man- li Zhou, Purdue University (United States)
Guang- You Xu, Purdue University (United States)
King-Sun Fu, Purdue University (United States)

Published in SPIE Proceedings Vol. 0548:
Applications of Artificial Intelligence II
John F. Gilmore, Editor(s)

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