Content-Based Image Retrieval by Combining Structural and Content Based Features
P. R. Badadapure
P. R. Badadapure, Research Scholar, JJTU, Dept of Electronic and Science, Jhumjhunu, Rajasthan, India.
Manuscript received on March 22, 2013. | Revised Manuscript received on April 10, 2013. | Manuscript published on April 30, 2013. | PP: 154-156 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1353042413/2013©BEIESP
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Abstract: Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple fea-tures like color, but also take the structural relationship between objects into account. In this paper we describe two models for image representation which integrate structural features and content features in a tree or a graph structure. The effectiveness of this two approaches is evaluated with real world data, using clustering as means for evaluation. Furthermore, we show that combining those two models can further enhance the retrieval accuracy.
Keywords: Approaches for content-based image retrieval have been proposed in the literature.