Image retrieval based on the combination of RGB and HSV’s histograms and Colour Layout Descriptor
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...
| Autor Principal: | Poveda Figueroa, Javier |
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| Otros Autores: | Robles Bykbaev, Vladimir |
| Formato: | Artículo |
| Idioma: | English |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/8410 |
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| Sumario: |
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. |
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