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International Conference on Information Technology: Computers and Communications
Spatial Statistics for Content Based Image Retrieval
Las Vegas, Nevada
April 28-April 30
ISBN: 0-7695-1916-4
Suryani Lim, Monash University, Australia
Guojun Lu, Monash University, Australia
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.
Citation:
Suryani Lim, Guojun Lu, "Spatial Statistics for Content Based Image Retrieval," itcc, pp.155, International Conference on Information Technology: Computers and Communications, 2003
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