Abstract
By using the knowledge engineering method for image processing, the authors verified the selection and execution of these software modules. As a result, satisfactory processing has been made available to even nonexperts for use in image processing. In image processing execution, conventional language FORTRAN is used to obtain high speed image processing and AI language Prolog is used to infer a suitable software module. By applying AI language, a greater number of image processings, covering a wider range, are expected.
| Original language | English |
|---|---|
| Pages (from-to) | 435-441 |
| Number of pages | 7 |
| Journal | Proceedings - Graphics Interface |
| Publication status | Published - 1985 Dec 1 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
Cite this
KNOWLEDGE ENGINEERING APPLICATION IN IMAGE PROCESSING. / Mikame, Kazuo; Sueda, Naomichi; Hoshi, Akira; Honiden, Shinichi.
In: Proceedings - Graphics Interface, 01.12.1985, p. 435-441.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - KNOWLEDGE ENGINEERING APPLICATION IN IMAGE PROCESSING.
AU - Mikame, Kazuo
AU - Sueda, Naomichi
AU - Hoshi, Akira
AU - Honiden, Shinichi
PY - 1985/12/1
Y1 - 1985/12/1
N2 - By using the knowledge engineering method for image processing, the authors verified the selection and execution of these software modules. As a result, satisfactory processing has been made available to even nonexperts for use in image processing. In image processing execution, conventional language FORTRAN is used to obtain high speed image processing and AI language Prolog is used to infer a suitable software module. By applying AI language, a greater number of image processings, covering a wider range, are expected.
AB - By using the knowledge engineering method for image processing, the authors verified the selection and execution of these software modules. As a result, satisfactory processing has been made available to even nonexperts for use in image processing. In image processing execution, conventional language FORTRAN is used to obtain high speed image processing and AI language Prolog is used to infer a suitable software module. By applying AI language, a greater number of image processings, covering a wider range, are expected.
UR - http://www.scopus.com/inward/record.url?scp=0022269812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0022269812&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0022269812
SP - 435
EP - 441
JO - Proceedings - Graphics Interface
JF - Proceedings - Graphics Interface
SN - 0713-5424
ER -