[1]
Tian Yuan, Du Dong, Hou Runshi, Gao Zhiling, and Shen Liqun, Automatic inspect ion of weld defects using X-ray image sequences, Tsinghua Un iv ( Sci & Tech ), vo l. 47, pp.1278-1281, 1286, (2007).
Google Scholar
[2]
Shao Zhonghua, and Liang Lihong, Application of mathematical morphology in the inspection on defects of weld images with X ray, Modern Welding Technology, vol. 94, pp.22-23, 26, (2010).
Google Scholar
[3]
Zhang Xiaoguang, Xu Jianjian, and Ge Guangying, Defects Recognition On X-Ray images For Weld Inspection Using SVM, Proceedings of the Third International Conference on Machine Learning and Cybernetics, shanghai:IEEE,2004,vol. 6, pp.3721-3725.
DOI: 10.1109/icmlc.2004.1380463
Google Scholar
[4]
Zhang Shiping, and Liu Jiaping, Edge detection operators and their application in cracking image, Concrete, No. 248, pp.25-27, (2010).
Google Scholar
[5]
Yeong-Taeg Kim, Contrast Enhancement Using Brightness Preserving Bi-Histogram Equalization, IEEE Trans. Consumer Electrionics, vol. 43, pp.1-8, Feb (1997).
DOI: 10.1109/30.580378
Google Scholar
[6]
Yeganeh, H. , Ziaei, A. and Rezaie, A., A novel approach for contrast enhancement based on Histogram Equalization, International Conference on Computer and Communication Engineering 2008, Kuala Lumpur, Malaysia: IEEE, 2008, pp.256-260.
DOI: 10.1109/iccce.2008.4580607
Google Scholar
[7]
Liao T. Warren and Ni Jiawei, An Automated Radiographic NDT System for Weld Inspection. Part I. Weld Extraction, NDT&E International, vol. 29, pp.157-162, (1996).
DOI: 10.1016/0963-8695(96)00009-6
Google Scholar
[8]
Xie Zhimeng and Gao Xiangdong, weld image's edge detection technology based on Canny algorithm, Welding journal, vol. 27, January 2006. pp.29-32, 36, January (2006).
Google Scholar
[9]
Kazakova, N., Margala, M. and Durdle, N.G. Sobel edge detection processor for a real-time volume rendering system", ISCAS , 04: IEEE, vol. 2, pp. II– 913.
DOI: 10.1109/iscas.2004.1329421
Google Scholar
[10]
Yang Zhenya, Bai Zhijiang, and Wang Chengdao, Self adapted Canny edge detection algorithm, Journal Of Shanghai Maritime University, vol. 24, pp.273-277, December (2003).
Google Scholar
[11]
Paul Bao, Lei Zhang, and Xiaolin Wu, Canny Edge Detection Enhancement by Scale Multiplication, IEEE Trans. Parrern Analysis and Machine Intelligence, vol. 27, NO. 9, September (2005).
DOI: 10.1109/tpami.2005.173
Google Scholar
[12]
Xuejing Jin, Dawei Qi, Haijun Wu, Lei Yu and Peng Zhang, Log x-ray image edge detection based on fractal-morphology analysis, CCDC 2010: IEEE, 2010, pp.2862-2866.
DOI: 10.1109/ccdc.2010.5498685
Google Scholar
[13]
Xiangzhi Bai and Fugen Zhou, Edge Detection Based on Mathematical Morphology and Iterative Thresholding, 2006 International Conference on Computational Intelligence and Security : IEEE, vol. 2, pp.1849-1852 IEEE, 2006, vol. 2, pp.1849-1852.
DOI: 10.1109/iccias.2006.295385
Google Scholar
[14]
Ioannis Valavanis and Dimitrios Kosmopoulos, Multiclass defect detection and classification in weld radiographic images using geometric and texture features, Expert Syst. Appl. vol. 37, pp.7606-7614, December (2010).
DOI: 10.1016/j.eswa.2010.04.082
Google Scholar
[15]
Xu Zhixiang, Huang Siju, Lu Hong, Sun Qiudong, The Compter Detection Of X-ray Weld Image, Welding Journal, vol. 13, pp.1-6, March (1992).
Google Scholar
[16]
Li Xiaojun, Wang Weiqiang, Jiang Shuqiang, Huang Qingming, and Gao Wen, Fast And Effective Text Detection, ICIP 2008: IEEE, 2008, pp.969-972.
Google Scholar
[17]
Xiaoqing Liu and Jagath Samarabandu, Mutiscale Edge-Based Text Extraction From Complex Images, 2006 International Conference on Multimedia and Expo: IEEE, 2006, pp.1721-1724.
DOI: 10.1109/icme.2006.262882
Google Scholar