A geometric method to compute directionality features for texture images

In content based image analysis and retrieval, texture feature is an essential component due to its strong discriminative power. Directionality is one of the most significant texture features which are well perceived by the human visual system. A new method to calculate the directionality of image is proposed in this paper. In contrast to Tamura method which uses the statistical property of the directional histogram of an image to calculate its directionality, the proposed method makes use of the geometric property of the directional histogram. Both subjective and objective analyses prove that the proposed method outperforms the conventional Tamura method. It has also been shown that the proposed directionality has better retrieval performance than the conventional Tamura directionality.

• Type: Conference
• Year: 2008
• Where: ICMCS
• Authors: Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
• Keywords: Conventional Tamura Directionality, ICMCS 2008, Multimedia, Tamura Method, Texture Features