Knowledge-based image management system for object identification

Kwang Hoon Sohn; Jung H. Kim; Eui H. Park; C. A. Ntuen

Knowledge-based image management system for object identification

Kwang Hoon Sohn, Jung H. Kim, Eui H. Park, C. A. Ntuen

Department of Electrical and Electronic Engineering

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

1 Citation (Scopus)

Abstract

A prototype model of a knowledge-based image management system (KIMS), consisting of an image processing system and an expert system, was developed to demonstrate the feasibility of the automated inspection of a target object from X-ray images. It is shown that if the procedural knowledge and the declarative knowledge are known, rules can be developed which will be used to identify a target object from X-ray images. The authors report results for the various image analysis states of preprocessing, segmentation, feature extraction, understanding, and interpretation in KIMS with particular application to a regional representation scheme.

Original language	English
Pages (from-to)	965-970
Number of pages	6
Journal	Conference Proceedings - IEEE SOUTHEASTCON
Volume	3
Publication status	Published - 1989
Event	Proceedings - Energy and Information Technologies in the Southeast - Columbia, SC, USA Duration: 1989 Apr 9 → 1989 Apr 12

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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title = "Knowledge-based image management system for object identification",

abstract = "A prototype model of a knowledge-based image management system (KIMS), consisting of an image processing system and an expert system, was developed to demonstrate the feasibility of the automated inspection of a target object from X-ray images. It is shown that if the procedural knowledge and the declarative knowledge are known, rules can be developed which will be used to identify a target object from X-ray images. The authors report results for the various image analysis states of preprocessing, segmentation, feature extraction, understanding, and interpretation in KIMS with particular application to a regional representation scheme.",

author = "Sohn, {Kwang Hoon} and Kim, {Jung H.} and Park, {Eui H.} and Ntuen, {C. A.}",

year = "1989",

language = "English",

volume = "3",

pages = "965--970",

journal = "Conference Proceedings - IEEE SOUTHEASTCON",

issn = "0734-7502",

note = "Proceedings - Energy and Information Technologies in the Southeast ; Conference date: 09-04-1989 Through 12-04-1989",

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TY - JOUR

T1 - Knowledge-based image management system for object identification

AU - Sohn, Kwang Hoon

AU - Kim, Jung H.

AU - Park, Eui H.

AU - Ntuen, C. A.

PY - 1989

Y1 - 1989

N2 - A prototype model of a knowledge-based image management system (KIMS), consisting of an image processing system and an expert system, was developed to demonstrate the feasibility of the automated inspection of a target object from X-ray images. It is shown that if the procedural knowledge and the declarative knowledge are known, rules can be developed which will be used to identify a target object from X-ray images. The authors report results for the various image analysis states of preprocessing, segmentation, feature extraction, understanding, and interpretation in KIMS with particular application to a regional representation scheme.

AB - A prototype model of a knowledge-based image management system (KIMS), consisting of an image processing system and an expert system, was developed to demonstrate the feasibility of the automated inspection of a target object from X-ray images. It is shown that if the procedural knowledge and the declarative knowledge are known, rules can be developed which will be used to identify a target object from X-ray images. The authors report results for the various image analysis states of preprocessing, segmentation, feature extraction, understanding, and interpretation in KIMS with particular application to a regional representation scheme.

UR - http://www.scopus.com/inward/record.url?scp=0024928251&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024928251&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0024928251

SN - 0734-7502

VL - 3

SP - 965

EP - 970

JO - Conference Proceedings - IEEE SOUTHEASTCON

JF - Conference Proceedings - IEEE SOUTHEASTCON

T2 - Proceedings - Energy and Information Technologies in the Southeast

Y2 - 9 April 1989 through 12 April 1989

ER -

Knowledge-based image management system for object identification

Abstract

All Science Journal Classification (ASJC) codes

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