Image retrieval based on the combination of RGB and HSV's histograms and Colour Layout Descriptor

Javier Poveda Figueroa, Vladímir Robles Bykbaev

Resumen


In this paper we present the first stage of a new approach to improve the precision and recall of the content-based image retrieval task. To do this, we aim to combine three colour features, RGB and HSV histograms, and MPEG- 7 Colour Layout Descriptor. To perform the combination, we propose to use an approximation based on Borda Voting-Schemes. Under that the Borda Voting-Schemes needs at least three votes to perform the combination, we intend to use the K-Nearest Neighbors methods to select the candidate images, given a query image. In the second stage, we’ll implement our approach using at least three image databases.

Palabras clave


HSV histogram; RGB histogram; Colour layout fescriptor; Borda Voting Schemes; KNN.

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Referencias


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DOI: http://dx.doi.org/10.17163/ings.n7.2012.01

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