Drawing image understanding system with capability of rule learning

Author

Satoh, Shin´Ichi ; Mo, Hiroshi ; Sakauchi, Masao

Author_Institution

Nat. Center for Sci. Inf. Syst., Tokyo, Japan

fYear

1993

fDate

20-22 Oct 1993

Firstpage

119

Lastpage

124

Abstract

A drawing understanding system using state transition models is described. This system performs flexible understanding following bottom-up and top down rules, which are easily derived. However, the system is sensitive to minor changes in drawings and has difficulty determining threshold values. A rule learning facility for overcoming these problems was added and evaluated. The system can generate rules from interactions with users using a machine learning method. It was confirmed that this system can generate proper rules for practical drawing understanding from plain interactions

Keywords

image processing; knowledge based systems; learning (artificial intelligence); drawing understanding system; flexible understanding; image understanding system; machine learning method; plain interactions; practical drawing understanding; rule learning facility; state transition models; threshold values; top down rules; Bars; Engineering drawings; Graphical user interfaces; Image converters; Image databases; Inference algorithms; Learning systems; Man machine systems;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICDAR.1993.395768

Filename

395768