@inproceedings{ab3cdd85077446419520b1f57acea333,
title = "An Exposure Evaluation Method for Digital Radiographic Images Based on Entropy Theory",
abstract = "In this paper, an exposure evaluation method for digital radiographic images is presented. By applying entropy theory into the tested images, the exposure setting of the radiography system is assessed according to the abundance of local pixels' information. The experiment is applied using a metal blade through radiography testing. The evaluation process is based on multiple-voltage exposure images of the tested blade to analyze the variation of global entropy. Through the experimental result, the image with optimal quality is selected by the presented method. The processed images are validated with CNR indicated by ASTM standard, and the radial distortion is also verified with four reference steel balls.",
keywords = "entropy analysis, exposure evaluation, radiography testing, turbine blade",
author = "Zhongyu Shang and Bing Li and Lei Chen and Lei Zhang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th International Conference on Mechanical Engineering and Automation Science, ICMEAS 2022 ; Conference date: 14-10-2022 Through 16-10-2022",
year = "2022",
doi = "10.1109/ICMEAS57305.2022.00039",
language = "英语",
series = "Proceedings - 2022 8th International Conference on Mechanical Engineering and Automation Science, ICMEAS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "166--170",
booktitle = "Proceedings - 2022 8th International Conference on Mechanical Engineering and Automation Science, ICMEAS 2022",
}