sealing clay text segmentation based on radon-like features and adaptive enhancement filters

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ID: 205673
2015
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Abstract
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.
Reference Key
zheng2015mathematicalsealing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Xia Zheng;Wei Wei;Houbing Song;Wei Li
Journal journal of power sources
Year 2015
DOI
10.1155/2015/983601
URL
http://dx.doi.org/10.1155/2015/983601
Keywords
civil engineering (general)mathematics engineering (general)

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