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Found 2 papers, 2 papers with code
Computer-aided Interpretable Features for Leaf Image Classification
The main image processing steps of our algorithm involves: i) Convert original image to RGB (Red-Green-Blue) image, ii) Gray scaling, iii) Gaussian smoothing, iv) Binary thresholding, v) Remove stalk, vi) Closing holes, and vii) Resize image.
FFORMPP: Feature-based forecast model performance prediction
We model the forecast error as a function of time series features calculated from the historical time series with an efficient Bayesian multivariate surface regression approach.
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