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- W2076173209 abstract "This paper presents a two-stage binarization method for the Mongolian Kanjur images. The proposed method includes two stages. In the first stage, three popular global thresholding methods are used to remove the background regions from one gray-level Mongolian Kanjur image. In the second stage, the rest of regions of one gray-level Mongolian Kanjur image are processed by an improved Sauvola's algorithm. The corresponding binary image could be achieved after these two stages. Experimental results on a number of the Mongolian Kanjur images show that the proposed binarization method outperforms the original Sauvola's algorithm." @default.
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- W2076173209 date "2010-10-01" @default.
- W2076173209 modified "2023-09-23" @default.
- W2076173209 title "A two-stage binarization method for the Mongolian Kanjur images" @default.
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- W2076173209 doi "https://doi.org/10.1109/iccasm.2010.5622845" @default.
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