DocumentCode :
1058029
Title :
Detection of circular arcs for content-based retrieval from an image database
Author :
Shann, R. ; Oakley, J. ; Davis, D. ; White, F.
Author_Institution :
Dept. of Electr. Eng., Manchester Univ., UK
Volume :
141
Issue :
1
fYear :
1994
fDate :
2/1/1994 12:00:00 AM
Firstpage :
49
Lastpage :
55
Abstract :
Methods are discussed for producing a summary of geometric content for images from a specific geological application, which can be used for content-based retrieval of interesting images from a large database. Using a data set of 100 images, it is shown that a local are detection scheme provides a more concise and hence a better summary of image content than a conventional edge map, while giving a superior performance
Keywords :
content-addressable storage; feature extraction; geology; geophysics computing; query languages; visual databases; Manchester Visual Query Language; circular arcs detection; content-based retrieval; feature detection; geological application; geometric content; image analysis; image content; image database;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:19949960
Filename :
278135
Link To Document :
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