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基于数学形态学的文档图像倾斜校正算法 被引量：2

Document image skew detection based on mathematical morphology
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摘要 随着信息采集技术的不断发展,文档图像在信息的数字化管理中越来越重要。对文档图像的倾斜校正进行了研究,给出了基于数学形态学和Hough变换相结合的算法,进行文档图像的倾斜校正,同时将算法应用于印刷体和手写体的文档图像。实验表明该算法可以有效应用于两种文档图像的倾斜校正。 With the development of information industry, document image in digital information management is more and more important. In this paper, we will make a study on skew detection of document image and design an algorithm based on mathematical morphology and Hough transform to detect the document image skew. We also apply the algorithm print and script document image. Experiment demonstrates that the algorithm is effective.
作者 张吉玲 王希常 刘江
机构地区 山东师范大学信息科学与工程学院 山大鸥玛图像处理与研究中心
出处 《计算机应用》 CSCD 北大核心 2008年第B06期213-214,共2页 journal of Computer Applications
关键词 文档图像 数学形态学 膨胀 细化 HOUGH变换 document image mathematical morphology dilation thin Hough transform
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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共引文献46

同被引文献24

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计算机应用
2008年 第B06期

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