APPLICATION OF STRUCTURAL SIMILARITY INDEX FOR ANALYSIS OF X-RAY IMAGES OF INSPECTION-INSPECTION COMPLEXES OF CUSTOMS CONTROL

Authors

  • A.I. Dusmukhamedov Head of the Department of the Customs Committee
  • A.A. Saidov Head of the Department of the Customs Institute
  • S.K. Tojimatov Applicant

Keywords:

X-ray analysis, digital transformation, inspection systems, automated, customs control, artificial intelligence, structural similarity index

Abstract

This article discusses a method for analyzing X-ray images obtained using Inspection and Examination Complexes using digital transformation algorithms. The relevance of the topic is due to the need to increase the efficiency of control over the transit of goods at the border. The structural similarity index is evaluated as a method for detecting anomalies in X-ray images.

References

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Malviya, A., Singh, S., Brindha, R., Pongiannan, R. K. "A Review of Image Processing Technologies for Anomaly Detection." International Journal of Research in Management and Social Development. SRM Institute of Science and Technology, Chennai, 2024, No. 2, pp. 1-10. https://www.ijfmr.com/papers/2024/2/17980.pdf.

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Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. "Image Quality Assessment: From Error Visibility to Structural Similarity." IEEE Transactions on Image Processing, 2004, 13(4), pp. 600-612. https://doi.org/10.1109/TIP.2003.819861.

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Published

2024-10-28

How to Cite

Dusmukhamedov, A., Saidov, A., & Tojimatov, S. (2024). APPLICATION OF STRUCTURAL SIMILARITY INDEX FOR ANALYSIS OF X-RAY IMAGES OF INSPECTION-INSPECTION COMPLEXES OF CUSTOMS CONTROL. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 2(5), 7–11. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v2i52

Issue

Vol. 2 No. 5 (2024): Digital Transformation and Artificial Intelligence

Section

Technical sciences

License

Copyright (c) 2024 Abdusobir Saidov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.