A Two-Stage Binarization Method for the Mongolian Kanjur Images

摘要：

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 Sauvolas 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 Sauvolas algorithm.

关键词： the mongolian kanjur images two-stage binarization method degradation

作者: Hongxi Wei Guanglai Gao Yali Wang

作者单位: School of Computer Science Inner Mongolia University Hohhot, China Earthquake Administration Inner Mongolia Autonomous Region Hohhot, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 169-172

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）