As one of the most important tasks in image processing, texture analysis is related to a class of mathematical models that characterize the spatial variations of an image. In this paper, in order to extract features of interest, we propose a reaction diffusion based model which uses the variational approach. In the first place, we describe the mathematical model, then, aiming to simulate the latter accurately, we suggest an efficient numerical scheme. Thereafter, we compare our method to literature findings. Finally, we conclude our analysis by a number of experimental results showing the robustness and the performance of our algorithm.
Lefraich, H., Fahim, H., Zirhem, M., & Alaa, N. E. (2021). A computational model for texture analysis in images with a reaction-diffusion based filter. Journal of Mathematical Modeling, 9(3), 485-500. doi: 10.22124/jmm.2021.18289.1569
MLA
Hamid Lefraich; Houda Fahim; Mariam Zirhem; Nour Eddine Alaa. "A computational model for texture analysis in images with a reaction-diffusion based filter". Journal of Mathematical Modeling, 9, 3, 2021, 485-500. doi: 10.22124/jmm.2021.18289.1569
HARVARD
Lefraich, H., Fahim, H., Zirhem, M., Alaa, N. E. (2021). 'A computational model for texture analysis in images with a reaction-diffusion based filter', Journal of Mathematical Modeling, 9(3), pp. 485-500. doi: 10.22124/jmm.2021.18289.1569
VANCOUVER
Lefraich, H., Fahim, H., Zirhem, M., Alaa, N. E. A computational model for texture analysis in images with a reaction-diffusion based filter. Journal of Mathematical Modeling, 2021; 9(3): 485-500. doi: 10.22124/jmm.2021.18289.1569
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