Comparison of Some Content-based Image Retrieval Systems with Rock Texture Images

Texture is commonly used feature in most of the content-based image retrieval systems. This texture retrieval ability can be also applied to rock texture. The retrieval of the rock texture is a demanding task because of special character of rock. In this paper some existing contentbased image retrieval systems are tested with a sample set representing clearly different rock images. The recall ability of these systems is measured based on the retrieval experiments. Texture retrieval has also been made using some well-known classifying features, which are extracted from the textures. The extracted features are based on second order statistics (cooccurrence matrix) and texture directionality. These features proved to be powerful in the sample texture retrieval.