Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2215008(2024)
Prohibited Item Detection Method of X-Ray Security Inspection Image Based on Improved YOLOv8s
Fig. 3. Structure diagrams of different feature fusion networks. (a) Structure of FPN; (b) structure of PAN; (c) structure of BiFPN; (d) structure of BiFPN in YOLOv8s-BiOG
Fig. 10. Random X-ray images of SI2Pxray dataset and OPIXray dataset. (a)‒(c) SIXray dataset; (d)‒(f) PIDray dataset; (g)‒(i) OPIXray dataset
Fig. 12. Confusion matrix corresponding to 5 prohibited items in SI2Pxray dataset. (a) Confusion matrix of YOLOv8s; (b) confusion matrix of YOLOv8s-BiOG
Fig. 13. Comparison of training process. (a) Precison comparison; (b) recall comparison; (c) mAP comparison
Fig. 14. Comparison images of detection results. (a)‒(e) Detection results of YOLOv8s; (f)‒(j) detection results of YOLOv8s-BiOG
|
|
|
Get Citation
Copy Citation Text
Jiaxin Dong, Ting Luo, Gen Li, Xing Zhao, Yunsong Zhao. Prohibited Item Detection Method of X-Ray Security Inspection Image Based on Improved YOLOv8s[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2215008
Category: Machine Vision
Received: Feb. 18, 2024
Accepted: Apr. 11, 2024
Published Online: Nov. 19, 2024
The Author Email: Ting Luo (luoting@ppsuc.edu.cn)
CSTR:32186.14.LOP240698