Color features are important to pictures and they are easy to calculate. Therefore, the features are widely used in Content Base Image Retrieval. The color correlogram is a simple statistics descriptor of a color image that has been widely used for content base image retrieval systems. To measure similarity between two images using the correlogram, the conventional approaches use the relative distance. Here to improve performance of the content base image retrieval systems, the inner product metric is used to measure similarity of images instead of the relative distance. Results of experiments proved that the content base image retrieval using the inner product metric has better performance than the one using the relative distance.

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