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| DOI | 10.15837/IJCCC.2016.6.2747 | ||||
| Año | 2016 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
This paper presents an unsupervised algorithm of colour image segmentation and is an extension of [1](a). This method combines the advantages of the approaches based on split and merge and region growing, and the use of the RGB and HSV colour representation models. The effectiveness of the proposed method has been verified by the implementation of the algorithm using three different testing images with homogeneous regions, spatially compact and continuous. It was observed that the proposed algorithm outperforms the other analysed techniques requiring shorter processing time when compared with the other methods.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | SCHLEYER-DAZA, GUSTAVO ADOLFO | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
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| 2 | LEFRANC-HERNANDEZ, GASTON | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
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| 3 | CUBILLOS-FIGUEROA, CLAUDIO ALONSO | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
|
| 4 | MILLAN-NAVEAS, GINNO | - |
Universidad Católica del Norte - Chile
|
| 5 | Osorio-Comparán, Román | Hombre |
Univ Nacl Autonoma Mexico - México
Universidad Nacional Autónoma de México - México Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas - México |