DocumentCode
3094628
Title
Knowledge-based approaches to practical image processing
Author
Ejiri, Masakazu
Author_Institution
Hitachi Ltd., Tokyo, Japan
fYear
1989
fDate
10-12 Apr 1989
Firstpage
1
Lastpage
8
Abstract
Recent practical approaches to knowledge-based image processing are discussed. Three application areas are considered: document understanding, drawing understanding and industrial machine vision. The authors indicate that, in the field of document understanding and drawing understanding, the capability of real-time processing is not generally a critical problem. Therefore, a complicated systematized inference mechanism can be utilized for knowledge-based processing. However, in the industrial machine vision field, real-time processing is essential. As knowledge-based processing usually poses a great problem in its processing speed, it must be executed in a highly simplified manner
Keywords
computerised picture processing; knowledge based systems; document understanding; drawing understanding; industrial machine vision; knowledge-based image processing; real-time processing; systematized inference mechanism; Character recognition; Data analysis; Engineering drawings; Humans; Image analysis; Image converters; Image processing; Image recognition; Pattern analysis; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Applications of Machine Intelligence and Vision, 1989., International Workshop on
Conference_Location
Tokyo
Type
conf
DOI
10.1109/MIV.1989.40513
Filename
40513
Link To Document