DocumentCode
3061262
Title
A knowledge-based graphic description tool for understanding engineering drawings
Author
Cheng, Yong-Qing ; Yang, Jing-Yu
Author_Institution
Dept. of Comput. Sci., East China Inst. of Technol., Nanjing, China
fYear
1990
fDate
6-9 Nov 1990
Firstpage
792
Lastpage
796
Abstract
A knowledge-based graphic description tool (KGDT) that is used to recognize and understand engineering drawings is described. This tool basically consists of a concept description network, a graphic description language, a physical description framework, a set of image processing modules, a matcher, a rule-based inference engine, an interpreter, and a blackboard control architecture. The matcher recognizes all graphic symbols and characters in the engineering drawing based on the various properties of the different graphic symbols and characters that are extracted by the low-level image processing routines. The rule-based inference engine is built to infer possible relations among graphic symbols and generate a relational graph. The interpreter is used to generate an acceptable explanation in terms of traversal of the relational graph. The interactions among the interpreter, the matcher, the inference engine, and the image processing routines are controlled by the blackboard control architecture
Keywords
computerised pattern recognition; computerised picture processing; engineering graphics; graph theory; knowledge based systems; knowledge representation; KGDT; blackboard control architecture; concept description network; engineering drawings; explanation; graphic description language; graphic symbols; image processing modules; interpreter; knowledge-based graphic description tool; low-level image processing routines; matcher; physical description framework; relational graph; rule-based inference engine; Assembly systems; Character recognition; Computer graphics; Computer science; Engineering drawings; Engines; Image processing; Image recognition; Image segmentation; Optical arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools for Artificial Intelligence, 1990.,Proceedings of the 2nd International IEEE Conference on
Conference_Location
Herndon, VA
Print_ISBN
0-8186-2084-6
Type
conf
DOI
10.1109/TAI.1990.130439
Filename
130439
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