A STEPWISE REFINEMENT DETECTION METHOD FOR PAVEMENT CRACKS

摘要

The present invention discloses a stepwise refinement detection method for pavement cracks, processing pavement images comprising the following primary steps: extracting and processing marking lines, extracting ROA, adaptive threshold segmentation based on ROA, extracting ROC and region growth based on ROC direction feature weighting. The present invention rapidly extracts ROA based on that cracks are a set of pixel points which have similar grayscale and have distinct spatial accumulation features; rapidly locates the possible grayscale intervals and spatial locations of the cracks by ROA, realizes an adaptive threshold segmentation for images, establishes a confidence evaluation criterion, and accurately extracts ROC; accurately evaluates the development trend of the cracks based on the evaluation method for crack growth direction by segment weighting; utilizes an improved region growth method, uses the regions of confidence as seed regions, grows along the development trend of the seed regions, and sufficiently guarantees the accuracy of the crack growth and the completeness of the crack detection.