基于ResNet的射线缺陷图像识别

北京理工大学珠海学院2020届本科生毕业论文Image Recognition of Ray Defects Based on ResnetAbstractThe rapid development of deep learning has brought many conveniences to life,but it isstill difficult to realize the automatic detection with the method of deep learning in the field ofindustrial nondestructive testing.This paper introduces Resnet,the most popular model indeep learning.By modifying Resnet network structure,ray data processing and so on,combining industrial ray detection with deep learning,the accuracy of Resnet modelapplication in ray detection field is optimized.Keywords:Ray detection;Defect identification;Residual neural network;Deep learning么