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Ground Nephogram Enhancement Algorithm Based on Improved Adaptive Fractional Differentiation
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作者 Xiaoying Chen Jie Kang Cong Hu 《Journal of New Media》 2021年第4期151-180,共30页
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... 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.Grunwald-Lentikov(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. 展开更多
关键词 Ground nephogram de-illumination fractional differential image enhancement
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