Abstract
In the proposed detection method, a single image was used for the rapid quantitative measurement of the damage area of a building. By using cross-ratio invariability between real and image coordinates, the damage area and the side lengths of the selected region were measured using the vanishing point, the vanishing line, and a line segment with a known length. Perspective transformation and image binarisation were performed on the selected frame to convert the length into area information. The damage area was obtained rapidly from the proportion of pixels in the damage region to pixels in the selected region. Corner detection and subpixel methods were combined to determine measurement errors because of the selection of measurement points. The experimental results from the example test revealed that quantitative area measurement of surface damage on buildings could be realised using the proposed method.
Highlights
Surface damage, such as cracks, rusting, and spalling, has been reported in many houses, seaport projects, and bridges worldwide within ten years of their construction. e deterioration in the durability of concrete is a safety concern. e damage on concrete surfaces is a critical factor because the deterioration of both concrete and reinforcement involves water as a participator or medium
Because the cross-ratio property is independent of the point position, the position of the line segment to be calculated relative to the known line segment should be considered in the calculation
Two straight lines intersecting at the same vanishing point are parallel. erefore, the quadrilateral p1p2a2ax is a parallelogram, and a2ax and p1p2 have the same length. e length of line segment a1a2 can be obtained. us, the calculation of the line segment length in a plane can be transformed into the calculation on a straight line
Summary
Surface damage, such as cracks, rusting, and spalling, has been reported in many houses, seaport projects, and bridges worldwide within ten years of their construction. e deterioration in the durability of concrete is a safety concern. e damage on concrete surfaces is a critical factor because the deterioration of both concrete and reinforcement involves water as a participator or medium. Ese defects include cracks, water seepage, spalling, honeycombs, pitted surfaces, exposed reinforcement, and rusting, which affect the durability of the concrete structures. Zhu and Brilakis [6] proposed an automatic and quantitative method to Advances in Civil Engineering characterise the influence of surface holes on concrete surface quality In this method, the speckle filter is used on a high-contrast image of the concrete surface within a fixed range to accurately detect holes. Image-processing techniques included cascade target detection after Haar training, edge detection, and multiple Haar wavelet transform classification on surface cracks in the concrete structure. Is study focused on the quantitative area measurement of the apparent spalling regions in concrete by using a single image, which exhibited excellent operability and high measurement accuracy.
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