KNOWLEDGE ENGINEERING APPLICATION IN IMAGE PROCESSING.

Kazuo Mikame; Naomichi Sueda; Akira Hoshi; Shinichi Honiden

KNOWLEDGE ENGINEERING APPLICATION IN IMAGE PROCESSING.

Kazuo Mikame, Naomichi Sueda, Akira Hoshi, Shinichi Honiden

Research output: Contribution to journal › Conference article › peer-review

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

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design

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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.",

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year = "1985",

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AU - Hoshi, Akira

AU - Honiden, Shinichi

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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.

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