Image retrieval based on the combination of RGB and HSV's histograms and Colour Layout Descriptor
| Autor: | Vladimir Robles Bykbaev, Javier Poveda Figueroa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
HSV histogram
Colour layout fescriptor Computer science business.industry lcsh:T ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION HSL and HSV lcsh:Technology Borda Voting Schemes Image (mathematics) Task (computing) Histogram RGB color model Computer vision KNN Artificial intelligence RGB histogram Precision and recall business lcsh:Science (General) Image retrieval lcsh:Q1-390 |
| Zdroj: | Ingenius: Revista de Ciencia y Tecnología, Iss 7 (2012) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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