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Table 1 Performance of global and local texture descriptors using spermatozoa data set

From: Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification

   

Global texture descriptors

  

Local texture descriptors

 

WCF13

WCF4

Statistical

Legendre

Flusser

Zernike

Hu

ALBP16

ALBP8

LBP8

LBP16

F score

0.800

0.795

0.783

0.780

0.739

0.736

0.720

0.737

0.683

0.674

0.603

Precision(%)

80.43

79.54

78.72

71.00

75.58

71.38

66.24

73.26

67.47

67.05

60.00

Recall(%)

79.57

79.54

78.10

86.59

72.65

76.29

78.76

74.12

69.14

67.82

60.67

Accuracy(%)

76.88

76.75

75.69

75.00

70.88

70.19

65.44

71.88

67.50

64.38

55.63

  1. Performance of global (left) and local (right) texture descriptors LBP and ALBP using R = 1, P = 8 and R = 2, P = 16 asneighbourhoods.