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