期刊文献+

闸瓦磨耗的图像检测方法 被引量:6

Image Inspection of Brake Shoe Wear
下载PDF
导出
摘要 本文研究了火车运行过程中获得的闸瓦图像的识别、磨耗的自动检测方法。根据图像中车轮踏面与闸瓦之间存在弧形缝隙的特征,提出了闸瓦磨耗的图像检测方法。实验结果证明,该方法识别率高、鲁棒性好、检测精度高、执行速度快,能够满足实际检测要求。 This paper studies the recognition of the brake image obtained when a train is running and the automatic test of brake wear. According to the features of the slot between the wheel tread and the brake shoe, we propose a method for the image inspection of brake shoe wear. Experimental results show that the method has a high recognition rate, high robustness, high inspection precision and a high execution speed, and can meet the practical inspection requirements.
出处 《计算机工程与科学》 CSCD 2005年第8期38-40,共3页 Computer Engineering & Science
关键词 识别 检测 磨耗 闸瓦 identification inspection brake shoe wear
  • 相关文献

参考文献6

  • 1王建民,浦昭邦,尹继学.空间矩亚像素细分算法的研究[J].光学技术,1999,25(4):3-6. 被引量:49
  • 2贺忠海,王宝光,廖怡白,陈林才.利用曲线拟合方法的亚像素提取算法[J].仪器仪表学报,2003,24(2):195-197. 被引量:47
  • 3KennethRCastleman 朱志刚 林学闫 石定机译.数字图像处理(第一版)[M].北京:电子工业出版社,2002..
  • 4John Canny. A Computational Approach to Edge Detection[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1986, 8(1):679-697.
  • 5R Gonzalez, R Woods. Digital Image Processing[M]. Addison Wesley, 1992.
  • 6D Hanselman, B Littlefield. Mastering Matlab6: A Comprehensive Tutorial and Reference[M]. Pearson Education, 2001.

二级参考文献13

  • 1吴晓波,钟先信,刘厚权,张启明.应用多项式插值函数提高面阵CCD尺寸测量的分辨力[J].仪器仪表学报,1996,17(2):154-159. 被引量:52
  • 2M. Elbaum, P. Diament. Estimation of image centroid,size and orientation with laser radar [J]. Applied optics,1977,6:2438~2440.
  • 3P. Seitz. Optical superresolution using solid-state cameras and digital signal processing [J]. Optical engineering, 1988,27(7) :535~540.
  • 4E. P. Lyvers, O. R. Mitchell, et al.. Subpixel measurements using o. moment-based edge operator [J]. IEEE transactions on Pattern Analysis and Machine Intelligence, 1989,11(12) : 1293~ 1308.
  • 5E. P. Lyvers, O. R. Mitchell. Precision edge contrast and orientation estimation [J]. IEEE Trans. on PAMI, 1988,10(6) :927~937.
  • 6Ian. Overington, Philip. Greenway. Accurate local form and motion extraction by a composite 1st and 2nd difference processor based on an interpretation of human vision[C]. SPIE, 1986,726 : 188~ 196.
  • 7S. I. Olsen. Estimation of noise in images: an evaluation [J]. CVGIP:models and image processing, 1993,55(4) :319~323.
  • 8Roberts L G. Machine Perception of Three-dimensional Solids [M] ,J. T. Tippett et al. Eds. , Optical and Electrooptical Information processing, MIT Press, 1965.
  • 9Prewitt. J. Object enhancement and extraction [M]. Academic Press, New York, 1970.
  • 10Kirsch. R. Computer determination of the constituent structure of biological images [ J]. Computer and Biomedical Research. 1971,14 (3).

共引文献92

同被引文献41

引证文献6

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部