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

Javier Poveda Figueroa, Vladímir Robles Bykbaev


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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