Improvement of crack detection probability by using magnetic camera and image processing

被引:7
|
作者
Choi, Seho [1 ]
Hwang, Jiseong [2 ]
Jun, Jongwoo [2 ]
Lee, Jinyi [2 ]
Kim, Cheolwoong [3 ]
机构
[1] POSCO, Tech Res Lab, Pohang 790785, South Korea
[2] Chosun Univ, Div Informat & Commun Engn, Gwangju 501749, South Korea
[3] Korea Univ, Mech Engn U&I Corp Res Ctr, Seoul 130701, South Korea
来源
PROGRESSES IN FRACTURE AND STRENGTH OF MATERIALS AND STRUCTURES, 1-4 | 2007年 / 353-358卷
关键词
nondestructive evaluation; image processing; crack; detection probability; magnetic camera;
D O I
10.4028/www.scientific.net/KEM.353-358.2375
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Magnetic camera consists of magnetic source, arrayed small magnetic sensors, magnetic lens, analog-to-digital converter and interface, computer and monitor. The quantitative magnetic field around crack and its processed results could be obtained by using magnetic camera, and the crack could be inspected and evaluated quantitatively. In addition, the magnetic camera has to uphold with large lift-off to protect sensors from weak environment such as high temperature and mechanical vibration. However, the sensor sensitivity would be decreased when the lift-off was increased. Correspondingly, the improved techniques are necessary for increasing sensitivity of magnetic camera and probability of crack detection at the large lift-off. This paper proposes an image processing method, which separates a global full scale to the several regions and repeats shadings in each region, to increase a crack detection probability in the magnetic camera images such as partial derivative B/partial derivative x and partial derivative B-2/partial derivative x partial derivative y.
引用
收藏
页码:2375 / +
页数:2
相关论文
共 50 条
  • [1] Detection probability improvement for nondestructive evaluation using a magnetic camera
    Lee, J
    Hwang, J
    Choi, S
    Lim, J
    FRACTURE AND STRENGTH OF SOLIDS VI, PTS 1 AND 2, 2006, 306-308 : 241 - 246
  • [2] The detection probability improvement of the far-side crack on the high lift-off using the magnetic camera
    Lee, Jinyi
    Hwang, Jiseong
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2006, 20 (25-27): : 4631 - 4636
  • [3] The QNDE using image processing of the magnetic camera
    Lee, Jinyi
    Hwang, Jiseong
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2006, 20 (25-27): : 4625 - 4630
  • [4] Automatic Crack Detection on Pressed Panels Using Camera Image Processing with Local Amplitude Mapping
    Lee, Chang Won
    Jung, Hwee Kwon
    Park, Gyuhae
    JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, 2016, 36 (06) : 451 - 459
  • [5] Crack Detection and Measurement Using PTZ Camera-Based Image Processing Method on Expressways
    Shao, Chunyan
    Feng, Xuezhi
    Li, Jingbing
    JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS, 2022, 148 (03)
  • [6] Crack detection on unwashed eggs using image processing
    Priyadumkol, Jetsadaporn
    Kittichaikarn, Chawalit
    Thainimit, Somying
    JOURNAL OF FOOD ENGINEERING, 2017, 209 : 76 - 82
  • [7] Development of Crack Detection and Crack Length Calculation Method using Image Processing
    Oh, Jewon
    Matsumoto, Yutaka
    Arai, Kohei
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (12) : 330 - 337
  • [8] Crack detection and classification in asphalt pavement using image processing
    Hassani, A.
    Tehrani, H. Ghasemzadeh
    PAVEMENT CRACKING: MECHANISMS, MODELING, DETECTION, TESTING AND CASE HISTORIES, 2008, : 891 - 896
  • [9] Crack detection using image processing: A critical review and analysis
    Mohan, Arun
    Poobal, Sumathi
    ALEXANDRIA ENGINEERING JOURNAL, 2018, 57 (02) : 787 - 798
  • [10] Crack detection on concrete surfaces using digital image processing
    Liu, Yufei
    Fan, Jiansheng
    Tao, Muxuan
    Jianzhu Jiegou Xuebao/Journal of Building Structures, 2014, 35 : 356 - 361