Image Enhancement of Blurry DR Images Using FLIT-LBP Texture Descriptors
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- 作者：1. ICT Research Center ; Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China ; Chongqing University ; Chongqing ; 400044 China2. College of Optoelectronic Engineering ; Chongqing University ; Chongqing ; 400044 China3. College of Mathematics and Statistics ; Chongqing University ; Chongqing ; 401331 China4. School of Electronic Engineering ; Tianjin University of Technology and Education ; Tianjin ; 300222 China
- 关键词：Digital radiography – ; Image enhancement – ; LBP – ; FLIT – ; FLIT ; LBP
- 刊名：Journal of Nondestructive Evaluation
- 出版年：2011
- 出版时间：September 2011
- 年：2011
- 卷：30
- 期：3
- 页码：179-185
- 全文大小：498.1 KB
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- 刊物类别：Engineering
- 刊物主题：Structural Mechanics
Characterization and Evaluation Materials
Vibration, Dynamical Systems and Control
Mechanics - 出版者：Springer Netherlands
- ISSN：1573-4862
文摘
The blurring of DR image often affects defect inspection. In this paper, a novel method called FLIT-LBP for the enhancement of blurry DR image is presented. The proposed method utilizes finite line integral transform (FLIT) to extract direction information, based on which appropriate weight arrangement can be chosen. Weight arrangement is a sorting order of weights that converts binary codes to decimal codes in local binary patterns (LBP). And the central pixel information is extracted by computing the mean value in LBP. By combining the direction extraction of FLIT and the local comparison of LBP, FLIT-LBP is able to enhance blurry defect images with different directions. Experimental results show that FLIT-LBP performs better than LBP and FLIT respectively. In addition, in the case of defects with different contrast ratios lying in the same image, our method achieves better enhancement than grayscale stretch does.