Generalized Fractional Brownian Texture Dataset

Published: 23 November 2020| Version 1 | DOI: 10.17632/7rjyfn5bgg.1
Abdourrahmane Mahamane Atto


A texture associated with a Generalized Fractional Brownian Field (GFBF) is generated from convolution operations over modulated fractional Brownian fields. Related challenges are: 1) counting the number of interacting modulated fractional Brownian fields and 2) locating the corresponding modulation frequencies, see references given below. Dataset structure: one root folder including 4 subfolders, any folder being associated with the number of modulated fractional Brownian interactions. Any TIF file (2 channels: modulus and phase of complex data) included in the subfolders has 2 channels: one for the modulus and the other for the phase of the complex GFBF texture.



Artificial Intelligence, Computer Vision, Machine Learning, Information Classification, Fractal Dimension Model, Numerical Method in Complex Analysis, Texture Analysis, Complex Mixture