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
Abstract :
A system for detecting dimension sets in engineering drawings that are drawn to ANSI drafting standards is presented. 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 then associated with their corresponding leaders to obtain complete dimension sets. Object lines are then separated from centerlines and hatching lines. Experimental results are presented
Keywords :
ANSI standards; engineering graphics; expert systems; feature extraction; image segmentation; ANSI drafting standards; arrowhead tracking; complete dimension sets; dimension set detection; engineering drawings; feature control frames; hatching lines; leaders; model-based procedure; rule-based text/graphics separation; search methods; segmented images; tails; text blocks; witness lines; ANSI standards; Computer graphics; Engineering drawings; Feature extraction; Image segmentation; Phase detection; Search methods; Tail; Technical drawing; Text analysis;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395662
