A Local Adaptive Thresholding framework for image binarization written in C++, with JS and Python bindings. Implementing: Otsu, Bernsen, Niblack, Sauvola, Wolf, Gatos, NICK, Su, T.R. Singh, WAN, ISauvola, Bataineh, Chan and Shafait.
All applicable algorithms are now using our fast morphology implementation for finding local min and max values. This also corrected an existing problem in the original calculator based version. This branch also contains support for the ISauvola binarization algorithm.
All applicable algorithms are now using our fast morphology implementation for finding local min and max values. This also corrected an existing problem in the original calculator based version. This branch also contains support for the ISauvola binarization algorithm.