Efficient implementation of local adaptive thresholding techniques using integral images

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Reading Digits in Natural Images with Unsupervised Feature Learning (2011, methodology): “For this purpose we have used the Sauvola binarization method [17] although experiments with various other binarization algorithms (as well as combining multiple binarization algorithms) resulted in similar accuracies.”
Adaptive local thresholding for detection of nuclei in diversity stained cytology images (2011, methodology): “Further, using the concept of integral images [6], a fast algorithm can be implemented for this method on the lines given in [7].”