A novel variational model for noise robust document image binarization
A novel variational model for noise robust document image binarization is a scholarly work, published in 2019 in ''Neurocomputing''. The main subjects of the publication include image, gradient descent, noise reduction, fidelity, optical character recognition, artificial intelligence, Variational method, Energy functional, image segmentation, Hough transform, biological robustness, thresholding, Balanced flow, pattern recognition, binary numeral system, computer science, regularization, noise, mathematics, and algorithm. The experiment results not only demonstrate the effectiveness of the approach, but also verify its noise and illumination robustness.