An Efficient Content Based Image Retrieval using El Classification and Color Features
An efficient method for image search and retrieval has been proposed in this study. For this purpose images are decomposed 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 for populating the database. Moreover, color differences are used to cluster same color retrieved results. Precision and recall rates have been used as quantification measures. It can be seen from the results that proposed method shows a 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. Keywords: Color Distances, Edge Pixels, Feature Extraction, Image Clustering, Inner Pixels.
| Main Authors: | , , , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología
2014
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| Online Access: | http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232014000500006 |
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