An Image Retrieval Method Using Combined Features Based on Feature Statistic

How to use low-level image features such as color, texture, shape, spatial relationship etc. logically in retrieval is an important problem for both retrieval system and users. An image retrieval method based on the four lands of image low-level features is proposed in this paper. According to image texture characteristic, a land of image feature statistic is defined. By using feature weight assignment operators designed here, the method can assign weight to the above four features adaptively and realize image retrieval based on combined image features. The experiment results show that the method mentioned above is more efficient than those based on only one kind visual feature.