Xiaoying Chen1,*, Jie Kang1, Cong Hu2
Journal of New Media, Vol.3, No.4, pp. 151-180, 2021, DOI:10.32604/jnm.2021.024665
Abstract The texture of ground-based nephogram is abundant and multiplicity.
Many cloud textures are not as clear as artificial textures. A nephogram
enhancement algorithm based on Adaptive Fractional Differential is established
to extract the natural texture of visible ground-based cloud image. GrunwaldLentikov (G-L) and Grunwald-Lentikov (R-L) fractional differential operators
are applied to the enhancement algorithm of ground-based nephogram. An
operator mask based on adaptive differential order is designed. The
corresponding mask template is used to process each pixel. The results show that
this method can extract image texture and edge details and simplify the process
of differential order selection. More >
Login
Register
