Objectification of Tooth-Marked Tongue in Chinese Medicine Based on Morphological Feature Extraction

Jiaxin Yang; Dong Han; Xinming Dong; Ruixian Tang; Xiangyang Xu; Jingjing Luo; Peng Zhou

doi:10.3788/LOP202259.1117001

Laser & Optoelectronics Progress, Volume. 59, Issue 11, 1117001(2022)

Objectification of Tooth-Marked Tongue in Chinese Medicine Based on Morphological Feature Extraction

Jiaxin Yang^1、**, Dong Han², Xinming Dong³, Ruixian Tang⁴, Xiangyang Xu⁴, Jingjing Luo^5,6, and Peng Zhou^1,4,6、*

Author Affiliations

¹Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China

²Linyi Third People’s Hospital, Linyi 276004, Shandong , China

³Tianjin Rehabilitation Center, Tianjin 300191, China

⁴School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China

⁵Academy for Engineering and Technology, Fudan University, Shanghai 200043, China

⁶Ji Hua Laboratory, Foshan 528200, Guangdong , China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(9)

Fig. 1. Function flow chart of tooth-marked tongue analysis algorithm

Download full size

Fig. 2. Preprocessing process of tooth-marked tongue image. (a) Tongue image after segmentation; (b) smallest rectangular containing tongue; (c) tooth mark part extraction image; (d) tooth mark region binarization; (e) image after opening and closing operation; (f) image after contour filling

Download full size

Fig. 3. Simplified schematic diagram of DP algorithm implementation process

Download full size

Fig. 4. Establishment process of tooth mark thickness array of scallop tongue edge

Download full size

Fig. 5. Compression effect of DP algorithm and VDLS-DP algorithm on original data. (a)(b) Severe tooth-marked tongue; (c)(d) moderate tooth-marked tongue; (e)(f) mild tooth-marked tongue

Download full size

Table 1. Performance of tooth marks recognition
View table
Table 1. Performance of tooth marks recognition
Item Tooth-marked tongue Non tooth- marked tongue Total
Correct 135 89 224
Incorrect 28 25 53
Accuracy /% 82.82 78.07 80.86

Table 2. Relative area deviation of DP algorithm and VDLS-DP algorithm
View table
Table 2. Relative area deviation of DP algorithm and VDLS-DP algorithm
Algorithm type
$R_{s}$ /%
DP
11.07
VDLS-DP
8.65

Table 3. Performance of tooth marks number detection
View table
Table 3. Performance of tooth marks number detection
Algorithm type
Incorrect
Total
Accuracy /%
Ref.［6］
71
135
45.19
DP
41
69.63
VDLS-DP
27
80.00

Table 4. Test results of tooth marks

View table

Table 4. Test results of tooth marks

Tooth mark degree	Amount	Incorrect			Accuracy /%
Tooth mark degree	Amount	Error type	Amount		Accuracy /%
Mild	93	Mild→moderate	2	5	94.62
Mild	93	Mild→severe	3	5	94.62
Moderate	27	Moderate→mild	4	7	74.07
Moderate	27	Moderate→severe	3	7	74.07
Severe	15	Severe→mild	0	2	86.67
Severe	15	Severe→moderate	2	2	86.67
Total	135	14			89.63

Tools

Get Citation

Copy Citation Text

Jiaxin Yang, Dong Han, Xinming Dong, Ruixian Tang, Xiangyang Xu, Jingjing Luo, Peng Zhou. Objectification of Tooth-Marked Tongue in Chinese Medicine Based on Morphological Feature Extraction[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1117001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites