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BSV System with MSC and Its Application in the Measurement of Surface Cracks

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  • Hua Ma
  • Guang Yang

Abstract

In this paper, we have proposed a flexible noncontact crack‐size measurement method that can realize binocular stereo vision measurement with only a single camera. On the premise that the camera’s intrinsic parameters have been accurately calibrated, we use a camera to collect the image of the crack from two directions. Then, we calculate the motion parameters using the collected images from the camera in different positions. In addition, Canny algorithm is used to extract the edge pixels of crack images. Finally, we establish the binocular stereo vision model for crack measurement according to the camera parameters, the motion parameters, and the edge information of crack images. Thus, we can measure the crack size through this model. Experimental results show that the measurement error is less than 5% under a distance of 2 meters, which can effectively prove the precision of the proposed method. In addition, our method only uses a single camera. Compared with the traditional binocular stereo vision method, this method is not only flexible but also more economical.

Suggested Citation

  • Hua Ma & Guang Yang, 2023. "BSV System with MSC and Its Application in the Measurement of Surface Cracks," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
    • Handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:5935284
    DOI: 10.1155/2023/5935284
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    1. Joyraj Chakraborty & Marek Stolinski, 2022. "Signal-Level Fusion Approach for Embedded Ultrasonic Sensors in Damage Detection of Real RC Structures," Mathematics, MDPI, vol. 10(5), pages 1-17, February.
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