Table 5.

Result of KNN classification using GLCM features.

KNN using GLCM features	Precision	Recall	F1-score
Clean	0.76	0.76	0.76
Dirty	0.83	0.80	0.81
Thin	0.97	0.97	0.97
Thick	0.91	0.95	0.93
Macro avg.	0.87	0.87	0.87
Weighted avg.	0.87	0.87	0.87
Average accuracy	0.8695