An Efficient Content Based Image Retrieval using EI Classification and Color Features
Fuente:
Universidad Nacional Autónoma de México
Resumen: 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 p...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Artículo de Investigación |
| Language: | English |
| Published: |
Instituto de Ciencias Aplicadas y Tecnología, UNAM
2014
Universidad Nacional Autónoma de México; Instituto de Ciencias Aplicadas y Tecnología |
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1877697829803130880 |
|---|---|
| author | Yasmin, M. Sharif, M. Irum, I. Mohsin, S. |
| author_facet | Yasmin, M. Sharif, M. Irum, I. Mohsin, S. |
| author_sort | Yasmin, M. |
| collection | Repositorio Institucional UNAM |
| description | Resumen: 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. |
| format | Artículo de Investigación |
| id | unam-45749 |
| institution | Universidad Nacional Autónoma de México |
| language | English |
| publishDate | 2014 |
| publisher | Instituto de Ciencias Aplicadas y Tecnología, UNAM Universidad Nacional Autónoma de México; Instituto de Ciencias Aplicadas y Tecnología |
| record_format | dspace |
| spelling | An Efficient Content Based Image Retrieval using EI Classification and Color Features Yasmin, M. Sharif, M. Irum, I. Mohsin, S. Ingenierías Color Distances Edge Pixels Feature Extraction Image Clustering Inner Pixels Procedencia: Universidad Nacional Autónoma de México Repositorio Institucional de la UNAM: https://repositorio.unam.mx/ Resumen: 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. Instituto de Ciencias Aplicadas y Tecnología, UNAM Universidad Nacional Autónoma de México; Instituto de Ciencias Aplicadas y Tecnología 2014-10-01 Text Artículo de Investigación application/pdf Cita bibliográfica: Yasmin, M., et al. (2014). An Efficient Content Based Image Retrieval using EI Classification and Color Features. Journal of Applied Research and Technology; Vol. 12 Núm. 5. Recuperado de https://jart.icat.unam.mx/index.php/jart/article/view/167 ISSN: ISSN electrónico: 2448-6736; ISSN: 1665-6423 https://repositorio.unam.mx/contenidos/45749 eng Journal of Applied Research and Technology; Vol. 12 Núm. 5 https://jart.icat.unam.mx/index.php/jart Nivel de acceso: Público La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx |
| spellingShingle | An Efficient Content Based Image Retrieval using EI Classification and Color Features Yasmin, M. Sharif, M. Irum, I. Mohsin, S. Ingenierías Color Distances Edge Pixels Feature Extraction Image Clustering Inner Pixels |
| title | An Efficient Content Based Image Retrieval using EI Classification and Color Features |
| title_full | An Efficient Content Based Image Retrieval using EI Classification and Color Features |
| title_fullStr | An Efficient Content Based Image Retrieval using EI Classification and Color Features |
| title_full_unstemmed | An Efficient Content Based Image Retrieval using EI Classification and Color Features |
| title_short | An Efficient Content Based Image Retrieval using EI Classification and Color Features |
| title_sort | an efficient content based image retrieval using ei classification and color features |
| topic | Ingenierías Color Distances Edge Pixels Feature Extraction Image Clustering Inner Pixels |
| topic_facet | Ingenierías Color Distances Edge Pixels Feature Extraction Image Clustering Inner Pixels |
| url | https://repositorio.unam.mx/contenidos/45749 |