Abstract
A new fast automatic repaired crack detection method of high-grade cement concrete pavement was realized through inhibition of groove, image enhancement, crack extraction and crack stitching in the low-resolution images using wavelet decomposition on the basis of in-depth feature analysis of repaired cracks. In addition, the modified crack identification algorithms were discussed in detail with joints, strip stains and traffic markings. It has significantly improved the processing speed by reducing image resolution and the applying one-dimensional convolution template instead of two-dimension. Large sample tests showed that recognition rate close to 94%.
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