Image-Based Crack Detection Methods: A Review

Annually, millions of dollars are spent to carry out defect detection in key infrastructure including roads, bridges, and buildings. The aftermath natural disasters like floods earthquakes leads severe damage the urban infrastructure. Maintenance operations that follow for damaged often involve a visual inspection assessment their state ensure functional physical integrity. Such may appear form minor or major cracks, which gradually spread, leading ultimate collapse destruction structure. Crack is very laborious task if performed via manual inspection. Many elements need be checked regularly it therefore not feasible as will require significant human resources. This also result cases where cracks go undetected. A need, therefore, exists performing automatic its effectiveness reliability. Using image processing techniques, captured scanned images parts can analyzed identify any possible defects. Apart from processing, machine learning methods being increasingly applied better performance outcomes robustness crack detection. paper provides review image-based techniques implement and/or learning. total 30 research articles have been collected published top tier journals conferences past decade. comprehensive analysis comparison these highlight most promising automated approaches