Research on x-ray film identification information recognition algorithm based on adaptive spatial feature fusion

The identification information on industrial X-ray films is crucial for film classification and management. In order to solve the problem of low detection accuracy and high missed detection rate, this paper proposes a model for X-ray film identification information recognition, named XRF-YOLOv5 (X-ray Film-YOLOv5), based on Adaptive Spatial Feature Fusion (ASFF). Experimental findings indicate a notable enhancement in the efficacy of the XRF-YOLOv5 model in detecting identification data on industrial X-ray films. In practical application scenarios, compared to the original YOLOv5 model, it exhibits higher recognition accuracy, higher confidence in recognition, and greater robustness. Therefore, XRF-YOLOv5 meets the basic requirements for industrial X-ray film identification information recognition.