Abstract:

This paper presents a description of the texture vector periodicity method:T{θ,Tθ, Vθ}. From eight directions (that is, 0°, 45°, 90°, 135°, 180°, 225 °, 270°, 315°) to discuss the periodicity of texture, direction, and the proportion of periodicity components, etc. The dθ analysis method is proposed to achieve a more comprehensive description and analysis of the texture periodicity. For fabric textures, after a large number of experiments, we select five textural features to reflect the direction and reflect the periodicity value of the four textural features. Finally, Based on the vector periodicity description methods in this article, we use the binarized cooccurrence matrix(BCM’s) and textural features to describe periodicity. The experimental results show that a certain periodicity texture image, using the periodicity described and the analysis method in this paper, achieves a more comprehensive description. Compared to the method of directly using gray level cooccurrence matrix(GLCM’s) for analysis, our analysis method greatly reduces the computational complexity.

Key words: texture vector periodicity;the d&theta, analysis method;fabric texture;textural feature