Joint Diseases Recognition of Cement Concrete Pavement Based on MATLAB Image Processing

The cement concrete pavement Joint diseases were recognized based on image processing platform of MATLAB software. Width of joints (delta), height of dislocation (Delta H), ratio of edge failure area to joint area (lambda(e)), and drop rate of joint sealant (lambda(t)) were calculated according to the image processing results. The joints failure coefficient (M) was introduced to evaluated joint performance. The results show that relative error of delta between the calculated value and measured value was not more than 6%, and relative error of Delta H was not exceeding 10%. The high accuracy was existed in the image processing method and can be satisfied the engineering requirement. The joints failure condition can be evaluated by the M value which calculated by Delta H, lambda(e), and lambda(t).