DocumentCode :
1137976
Title :
Detection of dimension sets in engineering drawings
Author :
Lai, Chan Pyng ; Kasturi, Rangachar
Author_Institution :
Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume :
16
Issue :
8
fYear :
1994
fDate :
8/1/1994 12:00:00 AM
Firstpage :
848
Lastpage :
855
Abstract :
This correspondence presents a system for detecting dimension sets in engineering drawings that are drawn to ANSI drafting standards. A new rule-based text/graphics separation algorithm and a model-based procedure for detecting arrowheads in any orientation have been developed. Arrowhead tracking and search methods are used to extract leaders, tails, and witness lines from segmented images containing only graphics. Text blocks and feature control frames extracted from the segmented images are than associated with their corresponding leaders to obtain complete dimension sets. Experimental results are presented
Keywords :
document image processing; engineering computing; image recognition; image segmentation; ANSI drafting standards; arrowhead tracking; dimension sets; engineering drawings; feature control frames; leaders; model-based procedure; rule-based text/graphics separation algorithm; search methods; segmented images; tails; text blocks; ANSI standards; Computer aided manufacturing; Design automation; Engineering drawings; Graphics; Image analysis; Image segmentation; Pattern recognition; Tail; Technical drawing;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.308483
Filename :
308483
Link To Document :
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