Dark Channel Applied for Reduction of the Effects of Non-uniform Illumination in Image Binarization

Sebastián Salazar Colores, Mariano Garduño Aparicio, Eduardo Ulises Moya Sánchez, Claudia Victoria Lopez Torres, Juan Manuel Ramos Arreguín


Non-uniform illumination is a common issue in images acquired in uncontrolled environments. Elimination or reduction of the non-uniform illumination problem is required in order to get an accurate image binarization. This paper introduces the combination of the dark channel and the atmospheric scattering model along with the k-means segmentation to reduce the effects of non-uniform illumination conditions in image binarization. The results show the effectiveness and robustness of this approach.


Non-uniform illumination, uneven illumination, dark channel, binarization

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