Content-based image retrieval method using color and shape features

We have proposed a composite feature measure, which combines the color and shape features of an image. We improved the retrieval performance by using color features generated from efficient color quantization and considered the spatial correlation with the histogram matrix matching method. We also supplemented the color information using shape information with the improved moment invariants. We have tested our technique on an image database consisting of 200 actual trademark images. We showed that our method is more robust than previous method under various situations such as rotation images, translation images, noise added images, gamma corrected images and so on. The retrieval efficiency is found to be very high and the experimental results are promising for practical applications.