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1999
IEEE

Windsurf: Region-Based Image Retrieval Using Wavelets

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Windsurf: Region-Based Image Retrieval Using Wavelets
In this paper we present WINDSURF (Wavelet-Based Indexing of Images Using Region Fragmentation), a new approach to content-based image retrieval. The method uses the wavelet transform to extract color and texture features from an image and applies a clustering technique to partition the image into a set of "homogeneous" regions. Similarity between images is assessed by using the Bhattacharyya distance to compare region descriptors, and then combining the results at image level. Experimental results on a testbed of 10,000 general-purpose images show that our approach is very effective in retrieving images that are "semantically" similar to the query image. In particular, we compared results of WINDSURF with the approach by Stricker and Orengo [11], showing that a significant improvement is obtained in the quality of the result.
Stefania Ardizzoni, Ilaria Bartolini, Marco Patell
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where DEXAW
Authors Stefania Ardizzoni, Ilaria Bartolini, Marco Patella
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