An Efficient Content Based Image Retrieval using EI Classification and Color Features
An efficient method for image search and retrieval has been proposed in this study. For this purpose images aredecomposed in equal squares of minimum 24x16 size and then edge detection is applied to those decomposed parts.Pixels classification is done on the basis of edge pixels and inner pixels. Fe...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Journal of Applied Research and Technology |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs2.localhost:article/167 |
| Acceso en línea: | https://jart.icat.unam.mx/index.php/jart/article/view/167 |
| Access Level: | acceso abierto |
| Palabra clave: | Color Distances Edge Pixels Feature Extraction Image Clustering Inner Pixels |
| Sumario: | An efficient method for image search and retrieval has been proposed in this study. For this purpose images aredecomposed in equal squares of minimum 24x16 size and then edge detection is applied to those decomposed parts.Pixels classification is done on the basis of edge pixels and inner pixels. Features are selected from edge pixels forpopulating the database. Moreover, color differences are used to cluster same color retrieved results. Precision andrecall rates have been used as quantification measures. It can be seen from the results that proposed method showsa very good balance of precision and recall in minimum retrieval time, achieved results are comprised of 66%-100%rate for precision and 68%-80% for recall. |
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