Image Retrieval Comparisons Using Color Models

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E. Sirisha
B.Uma Shravani, J.Kanaka Priya


Most content-based image retrievals (CBIR) use color models in order to retrieve images. A color model is a specification of a coordinate system within which each color is represented by a single point. In this paper, we obtain the RGB values of an image and then convert these RGB values into color models such as YCbCr, YIQ, and YUV respectively and then apply Principle Component Analysis (PCA) for each color model. Finally, we analyse the obtained color models that provides higher rate of accuracy.

Keywords: CBIR, PCA, YCbCr, YIQ, and YUV.


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