Table 2.

Accuracy in binary and multiclass classifications for the dataset with window size of 300 × 300 pixels.

Texture Techniques	Binary			Multiclass
Classifier	LDA	SVM	1-NN	LDA	SVM	1-NN
GLDM	92.8 (6.7)	98.7 (1.3)	98.5 (1.3)	75.7 (4.4)	79.3 (3.3)	62.8 (3.8)
Fourier	92.4 (5.5)	97.1 (1.9)	98.6 (1.2)	56.3 (5.7)	75.9 (3.9)	67.2 (5.2)
CNTD	98.1 (1.8)	96.9 (1.9)	97.3 (2.0)	68.6 (5.3)	75.5 (3.4)	62.6 (4.1)
Fractal	92.9 (5.8)	97.9 (1.5)	96.3 (2.9)	59.5 (5.2)	64.2 (4.0)	52.7 (4.8)
AHP	98.9 (1.3)	98.8 (1.3)	98.4 (1.3)	66.7 (6.2)	78.2 (3.7)	68.4 (4.9)
LBP	99.0 (1.3)	98.6 (1.4)	94.6 (3.3)	76.5 (4.7)	74.7 (3.5)	72.5 (4.7)
CNRNN	98.1 (1.7)	98.9 (1.0)	98.9 (1.0)	72.7 (4.3)	82.4 (3.5)	70.4 (3.7)
LCFNN	99.9 (0.3)	99.9 (0.3)	99.5 (0.9)	88.3 (3.4)	86.9 (3.1)	80.3 (3.8)