An Exposure Evaluation Method For Digital Radiographic Images Based On Entropy Theory

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 met...

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Bibliographic Details
Published in2022 8th International Conference on Mechanical Engineering and Automation Science (ICMEAS) pp. 166 - 170
Main Authors Shang, Zhongyu, Li, Bing, Chen, Lei, Zhang, Lei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2022
Subjects
Analytical models
Automation
Blades
Distortion
Entropy
entropy analysis
exposure evaluation
Radiography
radiography testing
Steel
turbine blade
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Summary: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.
DOI:10.1109/ICMEAS57305.2022.00039