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航空铝合金针孔缺陷自动分级的图像处理方法

吴鑫 齐铂金 张健合

吴鑫, 齐铂金, 张健合等 . 航空铝合金针孔缺陷自动分级的图像处理方法[J]. 北京航空航天大学学报, 2011, 37(6): 673-679.
引用本文: 吴鑫, 齐铂金, 张健合等 . 航空铝合金针孔缺陷自动分级的图像处理方法[J]. 北京航空航天大学学报, 2011, 37(6): 673-679.
Wu Xin, Qi Bojin, Zhang Jianheet al. Methods of image processing for automatic grading of porosity defects in aeronautical alloy[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(6): 673-679. (in Chinese)
Citation: Wu Xin, Qi Bojin, Zhang Jianheet al. Methods of image processing for automatic grading of porosity defects in aeronautical alloy[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(6): 673-679. (in Chinese)

航空铝合金针孔缺陷自动分级的图像处理方法

详细信息
  • 中图分类号: TP 242.6+2

Methods of image processing for automatic grading of porosity defects in aeronautical alloy

  • 摘要: 针对目前航空铝合金铸件针孔缺陷人工分级的缺点,用X射线照相获取的图像,采用一种计算机图像处理和模式识别的方法进行针孔缺陷自动分级,并主要对图像处理的算法进行了研究.根据针孔缺陷图像的灰度分布特点,采用小波分析的方法滤除低频干扰信息,保留针孔的高频信息,再经过区域分割提取针孔区域,进而提取单个针孔的尺寸特征,然后进行宏观统计和分析,通过对1~8级标准图片的统计特征进行神经网络的训练,实现了针孔的自动分级.实验结果表明,这种图像处理方法有较好的适应性.

     

  • [1] 龚磊清.针孔等级对铝合金铸件力学性能的影响[J].材料工程,1990(4):3-5 Gong Leiqing.Influnce on mechanical property of aluminum alloy cast by gas porosity level[J].Material Engineering,1990(4):3-5(in Chinese) [2] 时胜利,刘垒利,时惠英.铝合金针孔度的预测[J].铸造技术,1996,17(1):28-31 Shi Shengli,Liu Leili,Shi Huiying.Level forecast of gas porosity[J].Casting Technology,1996,17(1):28-31(in Chinese) [3] 李会玲,杨云龙,崔国明,等.铸造铝合金针孔度的图像分析[J].理化检验:物理分册,2005,41(12):613-615 Li Huiling,Yang Yunlong,Cui Guoming,et al.Image analysis of gas porosity level in aluminum alloy cast[J].Theoretic Chemical Examination:Physical Fascicule,2005,41(12):613-615(in Chinese) [4] Daum W,Rose P,Heidt H,et al.Automatic recognition of weld defects in X-ray inspection[J].British Journal of NDT,1987,29(2):140-145 [5] Kehoe A,Parker G A.Image processing for industrial radiograph inspection[J].British Journal of NDT,1990,32(4):183-190 [6] 周正干,杜圆媛.航空发动机叶片X射线数字图像分析的一种新方法[J].中国机械工程,2006,17(21):2270-2273 Zhou Zhenggan,Du Yuanyuan.A new analysis method for digital radiograph of turbine blade[J].Mechanical Engineering of China,2006,17(21):2270-2273(in Chinese) [7] Kaftandjian V,Zhu Y M,Peix G,et al.Automatic recognition of defects inside aluminium ingots by X-ray imaging[J].Insight,1996,38(9):618-625 [8] Strickland R K,Hahn H I.Wavelet transforms methods for objects detection and recovery[J].IEEE Trans Image Process,1997,6(5):724-735 [9] Kehoe A,Parker G A.An intelligent knowledge based approach for the automated radiographic inspection of castings[J].NDT&E Int,1992,25(1):23-36 [10] Ostu N.A threshold selection method from gray level histogram[J].IEEE Transactions on System,Man and Cybernetics,1979,9(1):62-66 [11] 朱虹,许朝辉,周健.基于PCR凝胶成像的信息自动提取[J].中国图象图形学报,2007,7(12A):1285-1290 Zhu Hong,Xu Zhaohui,Zhou Jian.Auto-extraction techniques of information based on PCR gelation image[J].Journal of Image and Graphics,2007,7(12A):1285-1290(in Chinese) [12] 田涌涛,李霞,王有庆,等.基于二维三项多项式拟合的阈值曲面分割法[J].计算机工程,2003,29(4):127-129 Tian Yongtao,Li Xia,Wang Youqing,et al.A segmentation method using threshold surface based on two-dimensional cubic fit[J].Computer Engineering,2003,29(4):127-129(in Chinese) [13] 杨福生.小波变换的工程分析与应用[M].北京:科学出版社,1999 Yang Fusheng.Engineering analysis and application of wavelet transforms[M].Beijing:Science Press,1999(in Chinese) [14] 苏惠敏,高剑宏,陈哲.BP网络实时图像自动选取算法研究[J].北京航空航天大学学报,2002,28(2):194-197 Su Huimin,Gao Jianhong,Chen Zhe.Study on automatic selection of current image by BP network[J].Journal of Beijing University of Aeronautics and Astronautics,2002,28(2):194-197(in Chinese) [15] 王伟.人工神经网络入门与应用[M].北京:北京航空航天大学出版社,1995 Wang Wei.Artifical neural network introduction and application[M].Beijing:Beijing University of Aeronautics and Astronautics Press,1995(in Chinese)
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出版历程
  • 收稿日期:  2010-03-30
  • 网络出版日期:  2011-06-30

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