Bridge engineering anomaly detection method based on unmanned aerial vehicle image acquisition

The invention discloses a bridge engineering anomaly detection method based on unmanned aerial vehicle image acquisition, and relates to the technical field of image processing, and the method comprises the steps: carrying out the analysis and calculation processing according to the historical data of a bridge, and obtaining the average pixel value and actual displacement data of a bridge image; performing image acquisition on a bridge by adopting an unmanned aerial vehicle to obtain a real-time image of the bridge; and performing abnormity elimination on the bridge according to an analysis result. According to the method, the image of the bridge is acquired through the unmanned aerial vehicle, the historical data of the bridge is read, binarization processing is performed on the acquired image and the historical data, the gray level image and the depth gray level image are acquired, the gray level image and the depth gray level image are calculated, and comparison is performed according to the images at diff