Detection of Bridge Deck and Road Surface Cracks

This code is implemented in MATLAB and includes sample images for immediate execution (note: path modifications are required). Primarily designed for detecting cracks in bridge decks and road surfaces, the implementation provides comprehensive function documentation and algorithmic principles. The core algorithm performs frequency estimation of regular stripe patterns in road surface backgrounds, employing frequency-domain filtering to effectively eliminate noise components close to the estimated frequencies while preserving target crack features. The current version achieves preliminary detection functionality through techniques including 2D Fourier transforms, frequency spectrum analysis, and band-stop filtering operations. While the basic framework is operational, the detection capabilities require further refinement. This serves as a demonstration prototype for reference purposes. Interested developers can progressively enhance features like adaptive thresholding, morphological operations, and machine learning integration for improved accuracy. Please contact me for technical discussions or collaboration proposals regarding code optimization and extension.