光谱学与光谱分析 |
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A Study on Image Processing of Digital Radiography and Measure of Material Micro-Density Directly |
XIA Ping1,XU Guang-ming2,YIN Song1, LIU Sheng-quan1*,XU Lian-yuan1,3 |
1. School of Engineering, Anhui Agricultural University, Hefei 230036, China 2. Radiology Department, Anhui Medicine University, Hefei 230032, China 3. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China |
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Abstract Due to the high influents of the device itself and the surrounding environment, the background brightness of the digital radiography image is uniform and the image shows big noise. Therefore, in order to identify digital radiography images precisely, a further image processing is necessary. In this study, adaptive filtering, histogram equalization techniques and difference image methods were used for image processing and the results show that these techniques were useful to denoise, to intensify brightness and to rectify the background. In order to verify the feasibility of these techniques, poplar wood samples of heterogeneous material were used as experimental materials and Micro-density was measured directly by applying the linear relationship between grey scale of DR image and penetrate material density and contrasted with the result of microdensitometer. The results show these techniques were feasible and even gave a more precise measurement on wood micro-density compared to microdensitometer.
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Received: 2007-05-10
Accepted: 2007-08-20
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Corresponding Authors:
LIU Sheng-quan
E-mail: liusq@ahau.edu.cn
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[1] JIANG Ze-hui, HUANG An-min, WANG Bin(江泽慧, 黄安民, 王 斌). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(6): 1034. [2] GUAN Ning,QU Jing-sa,WANG Yan-jun(管 宁, 曲竞赛,王艳君). China Wood Industry(木材工业), 1995, 9(1):19. [3] LIU Yong-hui, QI Da-hai(刘永辉, 戚大海). Atomic Energy Science and Technology(原子能科学技术), 1991, 25(4): 43. [4] Bergsten U, Lindeberg J, Evans R. Wood Science and Technology, 2001, 35: 435. [5] Saren M P, Serimaa R, Yoloneny T. Holzals Rohund Werkstoff, 2006, 64(3): 183. [6] Leban J M, Pizzi A, Wieland S, et al. J. Adhesion Sci. and Technology, 2004, 18(6): 673. [7] Longuetaud F, Saint André L, Leban J M. Journal of Nondestructive Evaluation, 2005, 24(1): 29. [8] Frank F, Jens R. Invest. Radiol., 2002, 37(11): 609. [9] WANG Peng-cheng, ZHANG Fu-li, LI Shi-jun(王鹏程, 张富利, 李士俊). Chinese Journal of Radiological Medicine and Protection(中华放射医学与防护杂志), 2005, 25(1): 91. [10] Lindgren L O. Wood Sci. Technol., 1991, 25: 341. [11] KANG Xiao-dong(康晓东). Digital Processing Technology for Biomedical Image Processing(医学图像的数字化处理技术). Beijing: People Sanitation Press(北京: 人民卫生出版社), 2002. [12] JIANG Ze-hui, HUANG An-min, FEI Ben-hua, et al(江泽慧, 黄安民, 费本华,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(7): 1230. [13] OUYANG Jian-ming(欧阳健明). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(1): 170. [14] TENG Feng-en, WANG Yu-ming, LONG Xiang(滕凤恩, 王煜明, 龙 骧). X-Ray Fundamentals and Applications(X射线学基础与应用). Changchun: Jilin University Press(长春:吉林大学出版社), 1991. [15] Rafael C G, Richard E W, Steven L E. Digital Image Processing Using MATLAB. Beijing: Publishing House of Electronics, 2005. [16] Gkanatsios N A, Hudo W, Peters K R. Medical Phys., 2002, 29(5): 1643. [17] Dilmanian F A, Zhong Z, Ren B, et al. Phys. Med. Biol., 2000, 45(4): 933. [18] Grissino-Mayer H D. Géographie Physique et Quaternaire, 1999, 53: 365. [19] Holmes R L. Tree-Ring Bulletin, 1983, 43: 69. [20] LIU Yi-xing, DAI Cheng-yue(刘一星, 戴澄月). Scientia Silvae Sinicae(林业科学), 1990, 26(6): 533. [21] Pashin A J. Textbook of Wood Technology. 4th edition. New York: McGraw-Hill Book Company, 1980. [22] LIN Sheng-qnan, JIANG Ze-hui, BAO Fu-cheng(刘盛全, 江泽慧, 鲍甫成). Scientia Silvae Sinicae(林业科学), 2001, 37(2): 90. |
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