| Autor: |
Guanglai Gao, Yali Wang, Hongxi Wei |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
2010 International Conference on Computer Application and System Modeling (ICCASM 2010). |
| DOI: |
10.1109/iccasm.2010.5622845 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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