A learning framework for the optimization and automation of document binarization methods
Computer Vision and Image Understanding
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In this paper a user friendly tool appropriate to get user feedback for the application of binarization algorithms is presented. The human feedback is very useful in order to apply next the algorithm to similar images. The tool supports Image Selection and Display, Selection of Binarization Algorithm and Parameter Configuration, Feedback gathering and Creation of log file for further processing.