Skip to main content

Table 4 Classification result on each extracted set of features for apple scab disease

From: A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

Method

Features

Measures

 

SLBP

Harlick

Color

Sen (%)

Spec (%)

Accuracy (%)

DT

âś“

  

82.45

88.0

82.4

  

âś“

 

78.40

76.0

78.4

   

âś“

54.70

44.0

54.9

QSVM

âś“

  

94.25

100

94.1

  

âś“

 

76.30

68.0

76.5

   

âś“

56.75

52.0

56.9

CSVM

âś“

  

90.25

94.04

90.2

  

âś“

 

69.55

66.0

66.7

   

âś“

62.70

60.0

62.7

QDA

âś“

  

88.15

84.0

88.2

  

âś“

 

84.30

84.0

84.3

   

âś“

56.75

52.0

56.9

F-KNN

âś“

  

90.25

92.0

90.2

  

âś“

 

70.60

72.0

70.6

   

âś“

54.85

52.0

54.9

W-KNN

âś“

  

90.25

92.0

90.2

  

âś“

 

74.45

72.0

74.5

   

âś“

66.45

56.0

66.7

EBT

âś“

  

92.25

96.0

92.2

  

âś“

 

78.55

84.0

78.4

   

âś“

62.90

56.0

62.7

ESDA

âś“

  

92.10

92.0

92.2

  

âś“

 

84.30

84.0

84.3

   

âś“

70.55

68.0

70.6

MSVM

âś“

  

94.15

96.0

94.1

  

âś“

 

86.25

84.0

86.3

   

âś“

72.40

64.0

72.5