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

• Poveda Figueroa, Javier ^[1] ; Robles Bykbaev, Vladímir ^[1]
  1. [1] Universidad Politécnica Salesiana

     Universidad Politécnica Salesiana

     Cuenca, Ecuador

     
• Localización: Ingenius: Revista de Ciencia y Tecnología, ISSN 1390-650X, ISSN-e 1390-860X, Nº. 7 (enero / junio), 2012, págs. 3-10
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• 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.