Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters

Zheng Xia; Wei Wei; Song Houbing; Li Wei

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Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters

机译：基于Radon-Like特征和自适应增强过滤器的密封粘土文本分割

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Text extraction is a key issue in sealing clay research. The traditional method based on rubbings increases the risk of sealing clay damage and is unfavorable to sealing clay protection. Therefore, using digital image of sealing clay, a new method for text segmentation based on Radon-like features and adaptive enhancement filters is proposed in this paper. First, adaptive enhancement LM filter bank is used to get the maximum energy image; second, the edge image of the maximum energy image is calculated; finally, Radon-like feature images are generated by combining maximum energy image and its edge image. The average image of Radon-like feature images is segmented by the image thresholding method. Compared with 2D Otsu, GA, and FastFCM, the experiment result shows that this method can perform better in terms of accuracy and completeness of the text.

机译：文本提取是密封粘土研究中的关键问题。基于摩擦的传统方法增加了密封粘土损坏的风险，并且不利于密封粘土的保护。因此，本文提出了一种利用密封黏土的数字图像，提出一种基于Radon特征和自适应增强滤波器的文本分割新方法。首先，自适应增强LM滤波器组用于获得最大能量图像。第二，计算最大能量图像的边缘图像。最后，通过结合最大能量图像及其边缘图像来生成类似Rad的特征图像。类the特征图像的平均图像通过图像阈值方法进行分割。与2D Otsu，GA和FastFCM相比，实验结果表明，该方法在文本的准确性和完整性方面表现更好。

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《Mathematical Problems in Engineering》 |2015年第20期|983601.1-983601.8|共8页
作者
Zheng Xia; Wei Wei; Song Houbing; Li Wei;
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Zhejiang Univ, Dept Culture Heritage & Museol, Hangzhou 310028, Zhejiang, Peoples R China;

Xian Univ Technol, Sch Comp Sci & Engn, Xian 710048, Shannxi, Peoples R China;

W Virginia Univ, Dept Elect & Comp Engn, Inst Technol, Montgomery, WV 25136 USA;

Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia;

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机译：基于Radon-Like特征和自适应增强过滤器的密封粘土文本分割
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Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters

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