Nondestructive ultrasonic detection method based on neural network and image fusion

The invention provides a nondestructive ultrasonic detection method based on a neural network and image fusion, and the method comprises the steps: carrying out the preprocessing of ultrasonic detection signals and defect images of different defect types, and constructing a defect detection database; obtaining a training set from the defect detection database; inputting the training set into a neural network model for training, obtaining set parameters of the neural network model, and further obtaining a neural network prediction model; inputting a to-be-tested signal of one defect type into the neural network prediction model to obtain a preliminary defect-removed image; and carrying out image fusion on the preliminary defect-removed image by adopting a data fusion algorithm to obtain a final defect-removed image. According to the method, a neural network and a data fusion algorithm are introduced to process ultrasonic detection signals and defect images, fusion of defect images of different detection positi