Paper
3 April 1997 Improving the arc detection method in the machine drawing understanding system
Dov Dori, David Hubanks, Wenyin Liu
Author Affiliations +
Proceedings Volume 3027, Document Recognition IV; (1997) https://doi.org/10.1117/12.270065
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
Arc segmentation is essential for high-level engineering drawing understanding and is very difficult due to its high order geometry form and the mixtures of other geometry lines. We present an arc segmentation method that is implemented in the current version of the machine drawing understanding system. The method follows closely the perpendicular bisector tracing algorithm we developed before. Some important variations are being explored to improve the efficiency, lower the number of false arc detections and improve the accuracy of the detected arcs. Experimental results are presented and discussed.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dov Dori, David Hubanks, and Wenyin Liu "Improving the arc detection method in the machine drawing understanding system", Proc. SPIE 3027, Document Recognition IV, (3 April 1997); https://doi.org/10.1117/12.270065
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KEYWORDS
Image segmentation

Raster graphics

Image processing algorithms and systems

Algorithm development

Detection and tracking algorithms

Evolutionary algorithms

Reconstruction algorithms

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