Weld joint radiographic inspection negative film image enhancement method, storage medium and equipment

Abstract

The invention discloses a weld joint radiographic inspection negative film image enhancement method, a storage medium and equipment. The method comprises the following steps: acquiring an original weld joint radiographic inspection negative film image by weld joint radiographic inspection negative film scanning equipment; constructing a training set and a test set of weld joint radiographic inspection negative film images, wherein the training set and the test set comprise image pairs of all weld joint radiographic inspection negative film image data subjected to enhancement processing and original data; creating a convolutional neural network model, wherein the convolutional neural network model comprises an encoding and decoding structure of a lower sampling layer and an upper sampling layer; and training the constructed network model by using the image data of the training set of the weld joint radiographic inspection negative image to generate a network model, and testing the modeleffect by using the image data of the test set of the weld joint radiographic inspection negative image. The weld joint radiographic inspection negative film image enhancement method is learned by using a deep learning technology, and has a good effect of processing the weld joint radiographic inspection negative film image.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing image processing, and in particular relates to a method, storage medium and equipment for image enhancement of weld seam radiographic testing film based on convolutional neural network. Background technique [0002] Weld seam radiographic inspection film is one of the necessary methods for non-destructive testing, and it is an important reference for film reviewers to judge the test object. Image enhancement plays an important role in image analysis and analysis, and image enhancement can help workers obtain important information contained in images. Usually, manual adjustment is used to obtain the best image effect. If it is all enhanced by hand, experience is required and it will bring a heavy workload to the staff. [0003] The method of digitally archiving weld radiographic inspection films by using a weld radiographic inspection film scanning device has been widely used in th...

AI Technical Summary

Problems solved by technology

Due to the large blackness of the negative film image of weld seam radiographic inspection, the signal-to-noise ratio of the obtained image is small, and the contrast is low, which greatly affects the quality of the image, and increases the difficulty of evaluating the image of the radiographic inspection film of the weld seam. As a result, the scanned radiographic film of the weld seam is not accurate enough, which directly affects the work of the reviewers

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