Application of the Measurement Method of Building Surface Cracks Based on Image Processing Technology

Building cracks are very common in building problems, and the safety accidents caused by cracks are even more numerous. The impact of building cracks on human life is so great that it has received widespread attention. Therefore, building surface cracks (BSC) have very practical significance for building safety. Although there are many kinds of traditional methods for measuring cracks on the surface of buildings, they also have some disadvantages, such as slow measurement speed, large measurement error and large subjective influence To enhance the accuracy and efficiency of BSC measurement, with the help of science and technology, this paper proposes to apply image processing technology (IPT) to BSC measurement and designs relevant comparative experiments and questionnaires. The experimental results show that compared with the traditional methods, the measurement accuracy of the balanced scorecard based on IPT is significantly improved. In traditional methods, the observed maximum error is greater than the actual width, while the ipt based method significantly reduces this maximum error. In addition, the minimum error of the crack width is only slightly less than the actual width. This fully shows that the measurement accuracy of the BSC measurement method based on IPT is more accurate, and the error value is smaller, which can effectively meet the accuracy requirements of the BSC measurement.