KNOWLEDGE ENGINEERING APPLICATION IN IMAGE PROCESSING.

Kazuo Mikame, Naomichi Sueda, Akira Hoshi, Shinichi Honiden

Research output: Contribution to journalConference article

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 languageEnglish
Pages (from-to)435-441
Number of pages7
JournalProceedings - Graphics Interface
Publication statusPublished - 1985 Dec 1
Externally publishedYes

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Knowledge engineering
Image processing
Processing

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 journalConference article

Mikame, Kazuo ; Sueda, Naomichi ; Hoshi, Akira ; Honiden, Shinichi. / KNOWLEDGE ENGINEERING APPLICATION IN IMAGE PROCESSING. In: Proceedings - Graphics Interface. 1985 ; pp. 435-441.
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