Abstract
ABSTRACTIn the port environment, the operation of the quay crane is critical but its damage is common and inevitable. In order to solve the difficulty of manually detecting the surface of the quay crane, a method for detecting and analysing surface images captured by an unmanned aerial vehicle (UAV) using image processing is proposed in this study. Pixel physical size calibration is first used in to provide auxiliary information for automatic measurement. Considering the environmental impacts such as wind and illumination, grey, motion blur reduction and image enhancement are used to make the target area clearer. A surface analysis method based on grey value is proposed to provide the basis for maintenance of key components and corroded areas, so that the blind areas can be reduced to make detection become more accurate and the cost of detection can be cut.
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