While there have been a considerable number of studies on computer vision (CV)-based
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …

Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …

Crack detection in masonry façades is a crucial task for ensuring the safety and longevity of
buildings. However, traditional methods are often time-consuming, expensive, and labour …

Masonry structures in historical sites are deteriorating due to ageing and man-made
activities. Regular inspection and maintenance work is required to ensure the structural …

This paper aims to improve automation in brick segmentation and crack detection of
masonry walls through image-based techniques and machine learning. Initially, a large …

Regular inspection and maintenance work is required to ensure the structural integrity of
historic structures, especially the masonry structures which are deteriorating due to ageing …

While there is a significant body of research on crack detection by computer vision methods
in concrete and asphalt, less attention has been given to masonry. We train a convolutional …

The integration of visible and thermal images has demonstrated the potential ability to
enhance crack segmentation accuracy. However, due to the intricate texture of masonry …

The deployment of machine learning for image crack detection requires model robustness
via an adaptive generalisation to unprecedented scenarios. Eg, in masonry, backgrounds …

Manual inspection (ie, visual inspection and/or with professional equipment) is the most
predominant approach for identifying and assessing superficial damage of masonry historic …