This paper present an improved imaging algorithm for bridge crack detection, through optimizing the eight-direction
Sobel edge detection operator, making the positioning of edge points more accurate than without the optimization, and
effectively reducing the false edges information, so as to facilitate follow-up treatment. In calculating the crack geometry
characteristics, we use the method of extracting skeleton on single crack length. In order to calculate crack area, we
construct the template of area by making logical bitwise AND operation of the crack image. After experiment, the results
show errors of the crack detection method and actual manual measurement are within an acceptable range, meet the
needs of engineering applications. This algorithm is high-speed and effective for automated crack measurement, it can
provide more valid data for proper planning and appropriate performance of the maintenance and rehabilitation processes
of bridge.
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