第3期 杨达，等：基于结构相似性与模板校正的织物瑕疵检测方法 ·483· 参考文献： terned fabric inspection using Bollinger bands[J].Optical engineering,2006,45(8:087202. [1]TSAI D M,CHEN Mingchun,LI Weichen,et al.A fast [15]NGAN H Y T.PANG G K H.Regularity analysis for pat- regularity measure for surface defect detection[J].Ma- terned texture inspection[J].IEEE transactions on automa- chine vision and applications,2012,23(5):869-886. tion science and engineering,2009,6(1):131-144 [2]步红刚，黄秀宝，汪军.基于多分形特征参数的织物瑕疵 [16]NG MK,NGAN H Y T,YUAN Xiaoming,et al.Pat- 检测J.计算机工程与应用，2007,43(36)：233-237 terned fabric inspection and visualization by the method BU Honggang,HUANG Xiubao,WANG Jun.Fabric de- of image decomposition[J].IEEE transactions on automa- fects detection based on multiple fractal features[J.Com- tion science and engineering,2014,11(3):943-947. puter engineering and applications,2007,43(36):233-237. [17]CHANG Xingzhi,GU Chengxi,LIANG Jiuzhen,et al. 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[8]COHEN FS,FAN Z,ATTALI S.Automated inspection of 作者简介： textile fabrics using textural models[J].IEEE transactions on pattern analysis and machine intelligence,1991,13(8): 杨达，硕士研究生，主要研究方向 803-808. 为图像处理。 [9]ZHOU Jian,SEMENOVICH D,SOWMYA A,et al. Sparse dictionary reconstruction for textile defect detec- tion[C]//Proceedings of the 2012 11th International Con- ference on Machine Learning and Applications.Boca Raton,.USA,2012:21-26. [10]KANG Zhigiang,YUAN Chaohui,YANG Qian.The fab- 狄岚，副教授，主要研究方向为模 ric defect detection technology based on wavelet trans- 式识别和数字图像处理。参与国家级 form and neural network convergence[C]/Proceedings of 及省部级科研项目6项。获得省级自 2013 IEEE International Conference on Information and 然科学学术奖1次，中国行业联合会 Automation.Yinchuan,China,2013:597-601. 科学技术奖3次。发表学术论文 [11]GHOSH A,GUHA T,BHAR R B,et al.Pattern classific- 40余篇。 ation of fabric defects using support vector machines[J]. International journal of clothing science and technology, 2011,23(2/3):142-151. 赵树志，硕士研究生，主要研究方 [12]CHETVERIKOV D.Pattern regularity as a visual key[J]. 向为机器视觉。 Image and vision computing,2000,18(12):975-985. [13]NGAN H Y T.PANG G K H,YUNG S P,et al.Wavelet based methods on patterned fabric defect detection[J]. Pattern recognition,2005,38(4):559-576. [14]NGAN H Y T,PANG G K H.Novel method for pat-参考文献： TSAI D M, CHEN Mingchun, LI Weichen, et al. A fast regularity measure for surface defect detection[J]. Ma￾chine vision and applications, 2012, 23(5): 869–886. [1] 步红刚, 黄秀宝, 汪军. 基于多分形特征参数的织物瑕疵 检测 [J]. 计算机工程与应用, 2007, 43(36): 233–237. BU Honggang, HUANG Xiubao, WANG Jun. Fabric de￾fects detection based on multiple fractal features[J]. Com￾puter engineering and applications, 2007, 43(36): 233–237. [2] MAK K L, PENG P, YIU K F C. Fabric defect detection using morphological filters[J]. Image and vision comput￾ing, 2009, 27(10): 1585–1592. [3] AZIZ M A, HAGGAG A S, SAYED M S. Fabric defect detection algorithm using morphological processing and DCT[C]//Proceedings of the 2013 1st International Confer￾ence on Communications, Signal Processing, and their Ap￾plications. Sharjah, United Arab Emirates, 2013: 1–4. [4] CHAN C H, PANG G K H. Fabric defect detection by Fourier analysis[J]. IEEE transactions on industry applica￾tions, 2000, 36(5): 1267–1276. [5] KUMAR A, PANG G. Defect detection in textured materi￾als using Gabor filters[C]//Proceedings of the Conference Record of the 2000 IEEE Industry Applications Confer￾ence. Thirty-Fifth IAS Annual Meeting and World Confer￾ence on Industrial Applications of Electrical Energy. Rome, Italy, 2002. [6] ZUO Haiqin, WANG Yujie, YANG Xuezhi, et al. Fabric defect detection based on texture enhancement[C]//Pro￾ceedings of the 2012 5th International Congress on Image and Signal Processing. Chongqing, China, 2012: 876–880. [7] COHEN F S, FAN Z, ATTALI S. Automated inspection of textile fabrics using textural models[J]. IEEE transactions on pattern analysis and machine intelligence, 1991, 13(8): 803–808. [8] ZHOU Jian, SEMENOVICH D, SOWMYA A, et al. Sparse dictionary reconstruction for textile defect detec￾tion[C]//Proceedings of the 2012 11th International Con￾ference on Machine Learning and Applications. Boca Raton, USA, 2012: 21–26. [9] KANG Zhiqiang, YUAN Chaohui, YANG Qian. The fab￾ric defect detection technology based on wavelet trans￾form and neural network convergence[C]//Proceedings of 2013 IEEE International Conference on Information and Automation. Yinchuan, China, 2013: 597–601. [10] GHOSH A, GUHA T, BHAR R B, et al. Pattern classific￾ation of fabric defects using support vector machines[J]. International journal of clothing science and technology, 2011, 23(2/3): 142–151. [11] CHETVERIKOV D. Pattern regularity as a visual key[J]. Image and vision computing, 2000, 18(12): 975–985. [12] NGAN H Y T, PANG G K H, YUNG S P, et al. Wavelet based methods on patterned fabric defect detection[J]. Pattern recognition, 2005, 38(4): 559–576. [13] [14] NGAN H Y T, PANG G K H. Novel method for pat￾terned fabric inspection using Bollinger bands[J]. Optical engineering, 2006, 45(8): 087202. NGAN H Y T, PANG G K H. Regularity analysis for pat￾terned texture inspection[J]. IEEE transactions on automa￾tion science and engineering, 2009, 6(1): 131–144. [15] NG M K, NGAN H Y T, YUAN Xiaoming, et al. Pat￾terned fabric inspection and visualization by the method of image decomposition[J]. IEEE transactions on automa￾tion science and engineering, 2014, 11(3): 943–947. [16] CHANG Xingzhi, GU Chengxi, LIANG Jiuzhen, et al. Fabric defect detection based on pattern template correc￾tion[J]. Mathematical problems in engineering, 2018, 2018: 3709821. [17] TSANG C S C, NGAN H Y T, PANG G K H. Fabric in￾spection based on the Elo rating method[J]. Pattern recog￾nition, 2016, 51: 378–394. [18] 马慧, 王科俊. 采用旋转校正的指静脉图像感兴趣区域 提取方法 [J]. 智能系统学报, 2012, 7(3): 230–234. MA Hui, WANG Kejun. A region of interest extraction method using rotation rectified finger vein images[J]. CAAI transactions on intelligent systems, 2012, 7(3): 230–234. [19] WANG Zhou, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural sim￾ilarity[J]. IEEE transactions on image processing, 2004, 13(4): 600–612. [20] HUANG Y J, POWERS R, MONTELIONE G T. Protein NMR recall, precision, and F-measure scores (RPF scores): structure quality assessment measures based on information retrieval statistics[J]. Journal of the Americ￾an chemical society, 2005, 127(6): 1665–1674. [21] 作者简介： 杨达，硕士研究生，主要研究方向 为图像处理。 狄岚，副教授，主要研究方向为模 式识别和数字图像处理。参与国家级 及省部级科研项目 6 项。获得省级自 然科学学术奖 1 次，中国行业联合会 科学技术奖 3 次。发表学术论文 40 余篇。 赵树志，硕士研究生，主要研究方 向为机器视觉。 第 3 期 杨达，等：基于结构相似性与模板校正的织物瑕疵检测方法 ·483·