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A Fast Tongue Detection and Location Algorithm in Natural Environment

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成果类型:
期刊论文
作者:
Zhu, Lei;Xin, Guojiang;Wang, Xin;Ding, Changsong;Liang, Hao;...
通讯作者:
Xin, Guojiang(lovesin_guojiang@126.com)
作者机构:
[Zhu, Lei; Ding, Changsong; Wang, Xin; Liang, Hao; Xin, Guojiang] Hunan Univ Chinese Med, Sch Informat, Changsha 410208, Peoples R China.
[Ding, Changsong; Liang, Hao; Xin, Guojiang] TCM Big Data Anal Lab Hunan, Changsha 410208, Peoples R China.
[Chen, Qilei] Univ Massachusetts, Dept Comp Sci, Lowell, MA 01854 USA.
通讯机构:
[Xin, G.] S
School of Informatics, Hunan University of Chinese Medicine, Changsha, China
语种:
英文
关键词:
CA mechanism;GELU;Tongue detection;YOLO V4-tiny
期刊:
计算机、材料和连续体(英文)
ISSN:
1546-2218
年:
2022
卷:
73
期:
3
页码:
4727-4742
基金类别:
Funding Statement: This work was supported by the Key Research and Development Plan of China (No. 2017YFC1703306), Key Project of Education Department in Hunan Province (No. 18A227), Key Project of Traditional Chinese Medicine Scientific Research Plan in Hunan Province (2020002).
机构署名:
本校为其他机构
摘要:
The collection and extraction of tongue images has always been an important part of intelligent tongue diagnosis. At present, the collection of tongue images generally needs to be completed in a sealed, stable light environment, which is not conducive to the promotion of extensive tongue image and intelligent tongue diagnosis. In response to the problem, a new algorithm named GCYTD (GELU-CA-YOLO Tongue Detection) is proposed to quickly detect and locate the tongue in a natural environment, which can greatly reduce the restriction of the tongue ...

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