Document Type


Publication Date



Statler College of Engineering and Mining Resources


Lane Department of Computer Science and Electrical Engineering


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.

Source Citation

Zheng, X., Wei, W., Song, H., & Li, W. (2015). Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters. Mathematical Problems in Engineering, 2015, 1–8.


Copyright © 2015 Xia Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.



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