Paper
19 October 2023 Improved tongue detection algorithm based on YOLO V4
Everett X. Wang, Yanbin Liao
Author Affiliations +
Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270937 (2023) https://doi.org/10.1117/12.2685070
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China
Abstract
To address the problem of target recognition of the tongue body during tongue image extraction. A method to improve YOLO V4 target detection is proposed to detect the tongue. The tongue region of the image is detected by the YOLO V4 target detection algorithm combining MobileNet V1 with an attention mechanism. The network combining MobileNet V1 can well reduce the size of the model, but may reduce the accuracy, which can be well compensated by imposing an attention mechanism. The experimental results show that the proposed algorithm achieves 91.98% mAP on tongue detection, which is 3.66% higher compared to YOLO V4, 17.7% higher single detection speed, and 80.7% reduction in the amount of parameters of the model, which has a better detection and localization effect, and has some guiding significance for the subsequent research on embedded devices for tongue diagnosis.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Everett X. Wang and Yanbin Liao "Improved tongue detection algorithm based on YOLO V4", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270937 (19 October 2023); https://doi.org/10.1117/12.2685070
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KEYWORDS
Tongue

Detection and tracking algorithms

Feature extraction

Convolution

Image segmentation

Evolutionary algorithms

Instrument modeling

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