Real-Time Tobacco Leaf Image Segmentation for Tobacco Strip Structure Based on Improved STDCNet

In cigarette production, tobacco strip structure directly affects the quality of tobacco in subsequent flue-cured tobacco processes, which in turn is related to the quality of cigarettes and the consumption of tobacco leaves.We propose an improved STDCNet algorithm for real-time segmentation of tobacco leaf images, which has excellent performance in our dataset. The IoU reaches 94.82%, which is 3.61% higher than the baseline algorithm STDCNet; FPS has reached 108.54, meeting the real-time requirements in industrial production.