A database capture system for mechanical drawings using an efficient multidimensional graphical data structure

A novel type of system for understanding mechanical drawings, named the AI-MUDAMS Recognizer, is proposed and discussed. In the system, contour vector data and core vector data for objects in the drawing image are first extracted and stored in a multidimensional graphical database. All the geometric...

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Bibliographic Details
Published inPattern Recognition, 9th International Conference on, 1988: Proceedings pp. 266 - 269 vol.1
Main Authors Wei Lu, Ohsawa, Y., Sakauchi, M.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE Comput. Soc. Press 06.01.2003
Subjects
Data mining
Data structures
Deductive databases
Engineering drawings
Feature extraction
Image coding
Image converters
Image databases
Multidimensional systems
Spatial databases
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ISBN9780818608780
0818608781
DOI10.1109/ICPR.1988.28219

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Summary:A novel type of system for understanding mechanical drawings, named the AI-MUDAMS Recognizer, is proposed and discussed. In the system, contour vector data and core vector data for objects in the drawing image are first extracted and stored in a multidimensional graphical database. All the geometrical operations required for feature extraction and structural understanding of mechanical drawings are performed very efficiently and flexibly using only the vector data (rather than image data) in the database. Rule-based artificial intelligence techniques are used for structural understandings. Experimental results confirm the high speed of the systems and its ability to understand mechanical drawings.< >
ISBN:9780818608780
0818608781
DOI:10.1109/ICPR.1988.28219