A Novel Enhancement and Detection Algorithm for Detecting Hazardous Products

Authors

  • Gurram Sivarani  Department of ECE, Sree Rama Engineering College, Tirupati, Andhra Pradesh, India
  • D. Poorna Chandra Reddy  Department of ECE, Sree Rama Engineering College, Tirupati, Andhra Pradesh, India

Keywords:

Airport security, X-ray image, USM, CLAHE, Image enhancement, Atmospheric haze removal, Object detection, YOLOV2.

Abstract

To solve the issue of colour distortion in CLAHE enhanced airport security X-ray images, an X-ray image enhancement technique incorporating USM+CLAHE+HAZEREMOVAL and YOLOV2 for object recognition is provided. The X-ray image's R, G, and B channels' grayscale pictures will be calculated, subjected to CLAHE enhancement, and then the enhanced R, G, and B grayscale images will be combined. The CLAHE-enhanced X-ray image is next subjected to the USM sharpening operation, and according to the weight, it is combined with the original and USM-sharpened photos. To the data obtained afterwards, a haze removal procedure is incorporated. Utilized for detection is YOLOV2. Results of the experiments show that the USM+CLAHE+ HAZEREMOVAL algorithm can successfully enhance the security X-ray image while also suppressing colour distortion in the enhanced image.

References

  1. Saenpaen J, Arwatchananukul S, Aunsri N. A Comparison of Image Enhancement Methods for Lumbar Spine X-ray Image[C]// 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology (ECTICON). 2018:798-801.
  2. Khan S, See C, Khan A. X-ray image enhancement using boundary division wiener filter and wavelet-based image fusion approach[J]. Journal of Information Processing System, 2016, 12(01): 35–45.
  3. Zhou Chong, Liu Huan, Zhao Ailing, et al. Industrial X-ray image enhancement algorithm based on gradient field [J]. Journal of Copmputer Application,2019,39(10):35-45.
  4. Xiang Jiankai, Wu Meng, Wang Zhan, et al. Application of Image Enhancement in X-Ray Photography of Cultural Relics[J]. Laser & Optoelectronics Progress, 2019,56(06):257–262.
  5. Koonsanit K, Thongvigitmanee S, Pongnapang N, et al. Image enhancement on digital x-ray images using N-CLAHE[C]// Biomedical Engineering International Conference.2017:1-4.
  6. Liu Yuting, Chen Zheng, Fu Zhanfang et al., "Infrared image enhancement algorithm based on CLAHE[J]", Laser & Infrared, vol. 46, no. 10, pp. 1290-1294, 2016.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2022-12-30

Issue

Volume 9, Issue 6, November-December-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Gurram Sivarani, D. Poorna Chandra Reddy, " A Novel Enhancement and Detection Algorithm for Detecting Hazardous Products, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 6, pp.293-299, November-December-2022.