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Volume: 4 | Article ID: art00078
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Histogram compression and image retrieval through Padua points interpolation
  DOI :  10.2352/CGIV.2008.4.1.art00078  Published OnlineJanuary 2008
Abstract

Colour has proved to be a very powerful feature for image indexing. There are many examples of image retrieval systems based on colour or chromaticity histograms in the literature, following on from the histogram intersection method of Swain and Ballard. Here we propose a compact representation of the chromaticity histogram that achieves very good performance in image retrieval. Specifically, we use a new type of polynomial interpolation in two variables, which relies on the Padua points as interpolation nodes. What we obtain is a vector of coefficients, that represents the interpolation polynomial and is “characteristic” for an image, and that can be compared to the corresponding vectors of other images. Experiments show that our new compact Padua point representation supports excellent indexing and recognition.

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Roberto Montagna, Graham Finlayson, "Histogram compression and image retrieval through Padua points interpolationin Proc. IS&T CGIV 2008/MCS'08 4th European Conf. on Colour in Graphics, Imaging, and Vision 10th Int'l Symp. on Multispectral Colour Science,  2008,  pp 362 - 366,  https://doi.org/10.2352/CGIV.2008.4.1.art00078

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Copyright © Society for Imaging Science and Technology 2008
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
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