Image retrieval based on dominant texture features

This paper presents a novel technique that can be used for fast indexing and retrieval of images based on their dominant texture features. Unlike the existing techniques that use computationally intensive texture features for content-based image retrieval, our proposed features are only derived from the DCT coefficients transformed from the Y-component in YUV color space. The dominant texture feature vector is mainly formed with the fundamental properties of global textures. In addition, to employ the fuzzy cognition concepts, our experimental system allows users to easily adjust weights for each individual feature component. Experimental results show that the proposed feature vector is compact with good retrieval accuracy.