研究目的
To measure the crack width of dangerous buildings quickly and accurately using a new method based on image processing technology with double square artificial marks.
研究成果
The double square artificial mark method provides a quick, accurate, and efficient way to measure building crack widths with a recognition accuracy of 98.56%. It avoids the need for long hours in hazardous conditions and meets the accuracy requirements for crack width detection.
研究不足
The method requires the crack to be vertical in the image and only one crack per image for accurate measurement. Multiple or complex cracks require multiple images. The accuracy depends on the resolution of the image capture device and the correct placement of artificial marks.
1：Experimental Design and Method Selection:
The study uses image processing technology with double square artificial marks to measure crack width. The method involves placing two 10 mm x 10 mm black square artificial marks near the crack, capturing the image with a camera, and processing it through graying, binarization, denoising, segmentation, and pixel calibration.
2：Sample Selection and Data Sources:
Crack images are collected from building walls using a mobile phone camera (Huawei BLN-AL20) with a resolution of 12 million pixels.
3：List of Experimental Equipment and Materials:
Huawei BLN-AL20 mobile phone for image capture, MATLAB for image processing, and Vernier caliper for manual measurement validation.
4：Experimental Procedures and Operational Workflow:
The process includes setting artificial marks near cracks, capturing images, transferring them to a computer, processing the images through MATLAB for grayscale conversion, binarization, denoising, segmentation, and calculating crack width based on pixel calibration.
5：Data Analysis Methods:
The actual crack width is calculated by comparing the number of pixels in the crack to the known dimensions of the artificial marks. The accuracy is validated against manual measurements.
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