Detection method for identifying water drops in seamless steel tube outer surface three-dimensional detection
A seamless steel pipe, three-dimensional inspection technology, applied in neural learning methods, measurement devices, image data processing and other directions, can solve the problems of real defect confusion, detection interference, false alarms of detection equipment, etc., to achieve suitable promotion and use, reduce detection errors Effect
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[0034]SeeFigure 1-3, The present invention provides a technical solution:
[0035]A detection method for identifying water droplets in the three-dimensional detection of the outer surface of seamless steel pipes, including the following steps:
[0036]Step 1: Data preprocessing: generate a two-dimensional grayscale image of the surface of the tube body based on the tube body contour data obtained by the three-dimensional sensor, and preprocess the grayscale image to obtain all areas to be inspected;
[0037]Step 2: Model training: Construct a deep learning network suitable for detecting water droplets on the surface of steel pipes offline, and train the model offline on the images of the area to be detected collected in step 1;
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