摘要
探讨如何选取火车金属标志板图像的有效文字区域,并采用图像处理的方法增强其文字的对比度,重点研究如何选择适当的阈值进行处理,以达到文字信息分割的要求,进而为采用适当的图像字符识别算法识别标志牌的图像内容提供基础。
Discusses how to choose an available character area of the metallic railway signage image, and adopteds the digital image processing technique to increase the character contrast, focuses on how to choose a appropriate threshold to deal,in order to obtain the request of character information segmentation, provides the foundation for further study on adopting proper graphical character recognition algorithm to identify the content of signage image.
出处
《现代计算机》
2008年第12期11-14,共4页
Modern Computer
基金
国家自然科学基金(No.60705012/F030404)
项目名称:动态场景下的图像超分辨率重建
关键词
噪声
旋转
分割
Noise
Rotation
Segmentation