Research on the application of low-light enhancement methods in radiographic inspection pretreatment
Xinyuan Lin, Haining Liu, Zhao Fubao, Yan Kui Sun · International Conference on Intelligent Equipment and Special Robots (ICIESR 2021) · 2021
In this paper, the application of the low-light enhancement method of radiographic inspection is proposed to realize more accurate X-ray nondestructive detection of workpiece defects. In order to solve the problem that the brightness of the original image is too dark in the process of ray image acquisition, gamma correction, histogram equalization, traditional illumination-based method, and deep learning-based method are selected to process the actual workpiece radiographs. Then the advantages and disadvantages of each algorithm are summarized by comparing and evaluating the results of each algorithm, which provides a basis for the selection of low-light image enhancement algorithms in the practical application of radiographic detection.