Method for detecting floating objects in river
A detection method and technology for floating objects, which are applied in neural learning methods, biological neural network models, image data processing, etc., can solve problems such as difficulty in timely discovery, difficulty in salvaging, and large floating randomness, so as to reduce labor costs and improve The effect of salvage efficiency
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[0052] Taking a certain river course as an example, a method for detecting floating objects in a river course according to the present invention is adopted;
[0053] Utilize the video data of the real-time video recording of the monitoring camera installed beside the river, carry out image processing through steps S1 to S8, and then combine the deep learning of steps S9 and S10 to catch up with the floating objects in the river at the detection place through step S11;
[0054] First frame the pixel area to be detected in the current image, such as figure 2 shown;
[0055] Then select the picture 1 second before the frame selection area and use the mean value filter to process and obtain the mean value picture, such as image 3 shown;
[0056] Obtain the grayscale image of the screen image in the current frame selection area; perform grayscale processing on the average image obtained through S2 to obtain the grayscale image of the average image, such as Figure 4 shown;
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