MA Man-man, LI Zhi-nong, CHEN Ling, SUN Yi, LIU Xin-ling, TAO Chun-hu. Review of Research on Metal Fracture Image Processing[J]. Failure Analysis and Prevention, 2018, 13(3): 196-202. DOI: 10.3969/j.issn.1673-6214.2018.03.011
    Citation: MA Man-man, LI Zhi-nong, CHEN Ling, SUN Yi, LIU Xin-ling, TAO Chun-hu. Review of Research on Metal Fracture Image Processing[J]. Failure Analysis and Prevention, 2018, 13(3): 196-202. DOI: 10.3969/j.issn.1673-6214.2018.03.011

    Review of Research on Metal Fracture Image Processing

    • This article mainly discusses the development and research status of metal fracture image processing at home and abroad. This topic covers three parts of metal fracture image preprocessing, image feature extraction and pattern recognition. Based on spatial domain and transform domain, the three methods are statistically analyzed and summarized. At the same time, according to the algorithm’s computing time, speed, recognition rate, robustness and other performance indicators, the comprehensive performance of metal fracture image recognition is analyzed and discussed. At the same time, the shortcomings of metal fracture image processing algorithm and their further development direction are pointed out, which will provide a powerful reference for the development of intelligent image fracture imaging technology.
    • loading

    Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return