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Proceedings Paper

Effective recognition approach to assembly drawings
Author(s): Yong-Qing Cheng; Jingyu Yang
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Paper Abstract

Automatic recognition of mechanical assembly drawings is very difficult problem in drawing recognition. So far many problems have not been solved. In this paper graphic algebra expressions are presented to describe part symbols and a new recognition method: serial numberleader linepart symbol correspondence is described to recognize assembly drawings. This recognition process is summarized as follows: First the assembly drawing is read by a scanner and translated into gray image data. Next serial numbers are separated from the image data. Recognized serial numbers are used to determine starting points of leader lines. A topologybased tracking algorithm is proposed to recognize a variety of leader lines find the corresponding part symbols. Finally the topological trackingmatching algorithm is built to track and recognize assembly drawings in terms of a generotortesting process of primitives. Because algebra expression of the part symbol covers lots of semantic features about the part symbol the tracking process is simultaneous with the recognition process. The above recognition method is implemented in our automatic recognition system . The experimental results show that our method is effective and isn''t affected by complex degree of assembly drawings.

Paper Details

Date Published: 1 November 1990
PDF: 9 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23555
Show Author Affiliations
Yong-Qing Cheng, East China Institute of Technology (China)
Jingyu Yang, East China Institute of Technology (China)

Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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