摘要
传统的少数民族文字缺乏利用数字图像处理技术进行分析的研究,水族古文字依靠口传、纸张手抄、刺绣、碑刻、木刻和古籍等传承,文字清晰度不足,数字化读取困难,无法满足信息化时代对濒危水族文字抢救提出的新要求。文中提出一种基于自适应图像增强及区域检测的水族文字提取与分割算法,通过对数变换和伽玛变换处理复杂环境下图像的光照影响,利用中值滤波降低噪声,接着采用Sobel算子提取水书灰度图像的文字边缘细节,通过阈值化、膨胀和腐蚀处理提取文字轮廓,最后通过区域检测与文字定位算法实现水族古文字的提取和分割。实验结果表明该算法能有效降低图像噪声并提取水族文字,分离的水族文字信息较完整,在一定程度上减轻了民族研究者和考古专家的工作量。该算法可以应用于水族文字识别、文物修复和保护、水族文化传承等领域,具有一定的应用前景和实用价值。
Aiming at the lack of digital image processing technology in traditional minority scripts,Shui characters are inherited by oral transmission,paper handwriting,embroidery,stele inscription,woodcut and ancient books.The text is not clear enough and it is difficult to digitally read,which can not meet the new requirements for rescuing endangered shui characters in the information age.In this paper,an algorithm of shui character extraction and segmentation based on image enhancement and region detection is proposed.The illumination of the image is processed by logarithmic and gamma transform,and the noise is reduced by median filtering.Then the text edge details of the gray-scale image of Shui characters are extracted by Sobel operator,and the text contours are extracted by threshold processing,expansion processing and corrosion processing.Finally,the text contours are extracted by Region detection.Detection and text location algorithm can extract and segment ancient Shui characters.This paper uses Python language to simulate the shui characters.The experimental results show that the algorithm can effectively reduce the image noise and extract the shui characters.The separated Shui characters information is more complete,which reduces the workload of ethnic researchers and archaeologists to a certain extent.The algorithm can be applied to the recognition of Shui characters,the protection of cultural relics,the inheritance of Shui culture and other fields,and has a certain application prospect and practical value.
作者
杨秀璋
武帅
夏换
于小民
YANG Xiu-zhang;WU Shuai;XIA Huan;YU Xiao-min(School of Information,Guizhou University of Finance and Economics,Guiyang 550025,China;Guizhou Province Economic System Simulation Key Laboratory,Guizhou University of Finance and Economics,Guiyang 550025,China)
出处
《计算机科学》
CSCD
北大核心
2021年第S01期74-79,共6页
Computer Science
基金
贵州省科学技术基金项目(黔科合基础[2019]1041,黔科合基础[2020]1Y279,黔科合基础[2019]1403号,黔科合基础[2020]1Y420)
贵州省教育厅青年科技人才成长项目(黔教合KY字[2021]135)
贵州财经大学校级科研基金项目(2019XQN01)。
关键词
图像增强
区域检测
水族文字
文字提取
图像分割
Image enhancement
Region detection
Shui characters
Text extraction
Image segmentation
