Automatic Detection of Casting Defects Based on Convolutional Neural Network

目录

声明

Acknowledgements

Abstract

Table of contents

List of figures

List of tables

Chapter 1 Introduction

1．1 Research background and purpose

1．2 Research status of X-ray inspection

1．3 Research Status of Deep Learning in Image Recognition Direction

1．4 Main work of this thesis

1．5 Chapter arrangement

Chapter 2 Principles

2．1 Research background and purpose

2．1．1 The basic principle of X-ray inspection of castings

2．1．2 X-ray digital imaging and image acquisition

2．1．3 X-ray imaging system hardware components

2．2 Convolutional neural network

2．2．1 Overview of Convolutional Neural Networks

2．2．2 Basic structural composition of convolutional neural networks

2．2．3 Classical structure of convolutional neural networks

2．3 Overall design of the research program

2．4 Chapter summary

Chapter 3 plementation of Casting Defect Recognition System on TensorFlow

3．1 Create a database

3．2 System environment construction

3．2．1 Native configuration

3．2．2 TensorFlow Introduction

3．3 Network training and analysis

3．3．1 Training process

3．3．2 Model evaluation

3．3．3 Feature visualization

3．4 Chapter summary

Chapter 4 Network improvement and implementation based on real-time

4．1 Model comparison experiment

4．2 Chang convolution kernel

4．3 Reduce the number of network layers

4．4 Chapter summary

Chapter 5 Summary and outlook

5．1 Summary

5．2 Outlook

References

Appendix