2025 Volume 6 Issue 3 Pages 1055-1073
Image processing has been applied to various fields of engineering, including medicine, industry, man- ufacturing, transportation and autonomous driving, as well as crime prevention and surveillance. In the 2010s, advances in deep learning significantly enhanced the accuracy and versatility of image processing, leading to a wider range of practical applications. In the first half of this paper, we highlight some of the most widely used image processing techniques, including those based on deep learning, and describe their development. While these image processing techniques are powerful tools, they are not all-purpose solu- tions; users must tailor their applications according to specific objectives. Therefore, in the latter half of this paper, with the aim of contributing to the future application of image processing in the civil engineering field, we introduce several case studies where the authors applied image processing techniques to real- world tasks in civil engineering, particularly in structural engineering.
