Journal
JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY
Volume 12, Issue 5, Pages 877-885Publisher
UNIV NACIONAL AUTONOMA MEXICO
DOI: 10.1016/S1665-6423(14)70594-2
Keywords
Color Distances; Edge Pixels; Feature Extraction; Image Clustering; Inner Pixels
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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.
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