• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1630006 (2021)
Ruochen Dai1, Mingfu Zhao1, Bin Tang1、*, Liyong Dai1, Taojiang Wu1、2, and Shanghai Jiang1
Author Affiliations
  • 1Intelligent Fiber Sensing Technology of Chongqing Municipal Engineering Research Center of Institution of Higher Education, Chongqing Key Laboratory of Fiber Optic Sensor and Photodetector, Chongqing University of Technology, Chongqing 400054, China
  • 2Tielian Operation and Maintenance of Chongqing Municipal Engineering Research Center of Institution of Higher Education, Chongqing 402260, China
  • show less
    DOI: 10.3788/LOP202158.1630006 Cite this Article Set citation alerts
    Ruochen Dai, Mingfu Zhao, Bin Tang, Liyong Dai, Taojiang Wu, Shanghai Jiang. Wire Rope Defect-Detection Method Based on Otsu Segmentation and Edge Detection[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630006 Copy Citation Text show less
    References

    [1] Gao S, Wang Q H, Fu D D et al. Nondestructive detection of sugar content and firmness of red globe grape by hyperspectral imaging[J]. Acta Optica Sinica, 39, 1030004(2019).

    [2] Yan X L, Zhang D L, Pan S M et al. Online nondestructive testing for fine steel wire rope in electromagnetic interference environment[J]. NDT & E International, 92, 75-81(2017).

    [3] Ma H W, Mao Q H, Zhang X H. Intelligent monitoring technology study process for steel cord conveyor belt in coal mine[J]. Journal of Vibration,Measurement & Diagnosis, 36, 213-219, 396(2016).

    [4] Huang Q, Li Z, Xue H Q. Multi-body dynamics co-simulation of hoisting wire rope[J]. The Journal of Strain Analysis for Engineering Design, 53, 36-45(2018).

    [5] Ridge I M L, Zheng J, Chaplin C R. Measurement of cyclic bending strains in steel wire rope[J]. The Journal of Strain Analysis for Engineering Design, 35, 545-558(2000).

    [6] Xu H M, Chen Y. Broken wire rope inspection system design research based on hyperspectral[J]. Computer Simulation, 29, 242-245(2012).

    [7] Liu J, Zhao Y, Wei S B. Elevator wire rope image detection method based on improved GAC model[J]. Journal of Shenyang Jianzhu University (Natural Science), 33, 184-192(2017).

    [8] Xie X J, Yang N X, Chen J X et al. Wear recognition method for traction wheel groove of elevator based on image processing[J]. China Safety Science Journal, 29, 122-128(2019).

    [9] Beitollahi M, Hosseini S A. Using Savitsky-Golay smoothing filter in hyperspectral data compression by curve fitting[C]. //Electrical Engineering (ICEE), Iranian Conference on, May 8-10, 2018, Mashhad, Iran., 452-457(2018).

    [10] Yang Y R, Bu Y, Xu J H et al. Measurement of surface defects of optical elements based on spectral estimation and multispectral technique[J]. Chinese Journal of Lasers, 46, 0904002(2019).

    [11] Chen Y T, Li Y Y, Yao T T. Ship detection from remote sensing image under complex sea conditions[J]. Laser & Optoelectronics Progress, 56, 181007(2019).

    [12] Yang T, Tian H W, Liu X M et al. Research on image segmentation algorithm based on edge detection and Otsu[J]. Computer Engineering, 42, 255-260, 266(2016).

    [13] Lin X, Li J H, Wang S L et al. Recent advances in passive digital image security forensics: a brief review[J]. Engineering, 4, 66-89(2018).

    [14] Zhang Q, Jia F X, Yin T T. Design of real-time image edge detection system based on improved Sobel algorithm[J]. Instrument Technique and Sensor, 101-104,108(2018).

    [15] Zhang H X, Wang C, Liu X et al. Image edge detection algorithm and its new development[J]. Computer Engineering and Applications, 54, 11-18(2018).

    [16] Sun X, Pan T, Ren F J. Facial expression recognition using ROI-KNN deep convolutional neural networks[J]. Acta Automatica Sinica, 883-891(2016).

    [18] Qian F, Sun T, Guo J et al. Multi-scale SSIM algorithm based on wavelet transforms[J]. Chinese Journal of Liquid Crystals and Displays, 30, 317-325(2015).

    Ruochen Dai, Mingfu Zhao, Bin Tang, Liyong Dai, Taojiang Wu, Shanghai Jiang. Wire Rope Defect-Detection Method Based on Otsu Segmentation and Edge Detection[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630006
    Download Citation