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Proceedings Paper

Automatic extraction of objects from technical drawings
Author(s): Alessandra Esposito; L. Boatto; Vincenzo Consorti; Alberto Neri
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Paper Abstract

In this paper, a methodology to extract the constituent parts from a noisy line drawing is presented. The image is decomposed into primitives and a heuristic search is performed to identify meaningful aggregates of primitives. Separation of overlapping entities and robustness against noise were the principal objectives of the project while object-oriented programming allowed us to design a system very flexible to change and additions. Results of experimentation on different types of objects are reported.

Paper Details

Date Published: 23 March 1994
PDF: 11 pages
Proc. SPIE 2181, Document Recognition, (23 March 1994); doi: 10.1117/12.171102
Show Author Affiliations
Alessandra Esposito, IBM Semea (Italy)
L. Boatto, IBM Semea (Italy)
Vincenzo Consorti, IBM Semea (Italy)
Alberto Neri, IBM Semea (Italy)

Published in SPIE Proceedings Vol. 2181:
Document Recognition
Luc M. Vincent; Theo Pavlidis, Editor(s)

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