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 performance of retrieval by color features that 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 image database consisting of 200 actual trademark images. We showed that our method is the robuster than the previous method under the various situations such as rotation images, translation images, noise added images, gamma corrected images and so on. The efficiency of retrieval is found to be very high and experimental results are promising for practical applications.