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CiteWeb id: 19960000139

CiteWeb score: 4023

DOI: 10.1109/34.531803

Image content based retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The focus of this paper is on the image processing aspects and in particular using texture information for browsing and retrieval of large image data. We propose the use of Gabor wavelet features for texture analysis and provide a comprehensive experimental evaluation. Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy. An application to browsing large air photos is illustrated.

The publication "Texture features for browsing and retrieval of image data" is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Computer Science it is included to the Top 1000. Additionally, the publicaiton "Texture features for browsing and retrieval of image data" is placed in the Top 1000 among other scientific works published in 1996.
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