Texture detection and texture discrimination with anisotropic scaling indices
Christoph W. Rath, Gregor Ego Morfill · Journal of the Optical Society of America A · 1997
A new method to determine specific local features of textures is proposed. Based on the idea of pointwise dimensions, the concept of isotropic and anisotropic scaling indices is developed. A new algorithm for texture detection and texture localization that makes use of level-2 statistics is introduced. The performance of the algorithm is evaluated on an example of two natural textures. The effect of noise is studied, and it is shown that the algorithm is insensitive to white noise. The global and local aspects of the detection and discrimination process within this statistical model are pointed out. Some remarks on the choice of parameters in texture discrimination algorithms are made.