计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 74-79.doi: 10.11896/jsjkx.200900070
杨秀璋1, 武帅1, 夏换2, 于小民2
YANG Xiu-zhang1, WU Shuai1, XIA Huan2, YU Xiao-min2
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。
中图分类号:
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