Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters
Joint Authors
Zheng, Xia
Song, Houbing
Li, Wei
Wei, Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zheng, Xia& Wei, Wei& Song, Houbing& Li, Wei. 2015. Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1075254
Modern Language Association (MLA)
Zheng, Xia…[et al.]. Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1075254
American Medical Association (AMA)
Zheng, Xia& Wei, Wei& Song, Houbing& Li, Wei. Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1075254
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075254