Spectral covariance and fuzzy regions for image indexing |
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Authors: | Markus Stricker Alexander Dimai |
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Affiliation: | (1) Communications Technology Laboratory, Swiss Federal Institute of Technology, ETH, CH-8092 Zurich, Switzerland e-mail: {stricker,adimai}@vision.ee.ethz.ch, CH |
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Abstract: | To improve the discrimination power of color-indexing techniques, we encode a minimal amount of spatial information in the
index. We tesselate each image with five partially overlapping, fuzzy regions. In the index, for each region in an image,
we store its average color and the covariance matrix of the color distribution. A similiarity function of these color features
is used to match query images with images in the database. In addition, we propose two measures to evaluate the performance
of image-indexing techniques. We present experimental results using an image database which contains more than 11,600 color
images. |
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Keywords: | : Color indexing – Color distribution features – Fuzzy sets – Performance evaluation |
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