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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Journal
Document Title
:
A knowledge-based stellar image interpretation system
نظام قائم على المعرفة لتفسير صور النجوم
Subject
:
Pattern recognition
Document Language
:
English
Abstract
:
A knowledge based system for interpreting astronomical digital images has been developed. The system examines a given stellar image produced by special light sensitive detectors, and employs rule-based knowledge about the light intensity profile of typical stars in order to identify the true stars and filter out other objects. Forward chaining is used initially to scan the light intensity in a given image searching for pixels having local maxima. Next backward chaining is employed to classify the obtained maxima into true stars, cosmic rays, and noise peaks. The developed system is both simple and fast. It is implemented in C language and runs on a personal computer. Obtained results are found to be in good agreement with other obtained from more complex traditional package.
ISSN
:
11106409
Journal Name
:
Al Azhar University Engineering Journal (AUEJ)
Volume
:
1
Issue Number
:
2
Publishing Year
:
1418 AH
1998 AD
Article Type
:
Article
Added Date
:
Sunday, January 8, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
فرج النجاحي
Elnagahy, farag
Researcher
Doctorate
faragelnagahy@hotmail.com
Files
File Name
Type
Description
32008.docx
docx
A knowledge-based stellar image interpretation system
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