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Published Articles >> Table of Contents >> Abstract
International Conference on Information Technology: Computers and Communications
p. 155
Spatial Statistics for Content Based Image Retrieval
Suryani Lim, Monash University, Australia
Guojun Lu, Monash University, Australia
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2003.1197518
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| Abstract |
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A Content Based Image Retrieval (CBIR) system retrieves relevant images from an image database. Over
the years, several methods have been proposed to extract
these features. Previous researches show that the effectiveness of a CBIR system increases when spatial relationship
of colours is considered. In this paper we propose using
the Looseness parameter from geostat, a branch of statistics which deals with geographical data, to describe the
global spatial relationship of colours. Spatial Chromatic
Histogram (SCH) is another method which also measures
the global spatial relationship of colours. However, the spatial measurement of SCH is size variant, the spatial measurement of geostat is size invariant. We will analyse and
compare the performance of geostat and SCH.
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 Additional Information
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Citation:
Suryani Lim, Guojun Lu,
"Spatial Statistics for Content Based Image Retrieval,"
itcc,
p. 155,
International Conference on Information Technology: Computers and Communications,
2003
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