Crack Property Identification on Concrete Construction Surface Using an Automatic Image-Based Measurement

摘要

The safety of concrete construction is evaluated manually by inspecting visible damage in structural elements. However, this process is time consuming and costly. To automate this assessment, a nondestructive photogrammetric has been widely used for damage identification in civil engineering. One of the most common damage types is concrete surface crack. Therefore, this study proposes a novel image-based measurement of crack properties in concrete construction. The method first retrieves the crack skeleton and profile from the crack map generated by pre-processing the original image. Then, the crack skeleton is abstracted into a tree structure, and small edges from the crack trunk are removed to calculate the length of the crack. Finally, Euclidian distance transform is applied on the crack profile to calculate the width of the crack. The proposed method can identify crack properties automatically and enhance stability, durability, and safety evaluation of the concrete construction. Validity and accuracy are tested by experiments on crack images of real concrete construction.