Table 2 The accurate fitness value for different optimization techniques for the test images.

From: GAAOA-Lévy: a hybrid metaheuristic for optimized multilevel thresholding in image segmentation

Image

Pepper

Camera man

K = 2

K = 3

K = 4

K = 5

K = 2

K = 3

K = 4

K = 5

GAAOA

2862.6

3071.8

3187.3

3201.3

3661.1

3743.2

3788.1

3826.7

EMO Lévy

2858.5

3059.9

3145.7

3189.8

3646.6

3721.8

3778.2

3809.4

EMO

2857.5

3059.8

3144.8

3189.4

3646.5

3721

3777.4

3809.4

CS

2861.1

3059.9

3145.7

3189.7

3643.6

3718.7

3774.5

3805.7

SCA

2324.5

2550.4

2537.9

2603.8

3515.8

3680.5

3749.18

3718.18

MFO

2435.5

2574.7

2647.67

2669.47

3643.31

3720.25

3748.75

3758.72

WOA

2433.36

2493.18

2632.9

2682.01

3649.36

3690.11

3760.5

3795.86

Image

Baboon

    

K = 2

K = 3

K = 4

K = 5

    

GAAOA

1559.7

1551.6

1611.2

1642.1

    

EMO Lévy

1558.6

1539.2

1601.4

1628.9

    

EMO

1542.5

1532.7

1592.6

1617.2

    

CS

1543.9

1539.2

1582.6

1623.6

    

SCA

1587.5

1546.3

1562.4

1595.2

    

MFO

1621.4

1541.2

1588.2

1610.5

    

WOA

1632.3

1530.3

1590.1

1621.4

    
  1. Significant values are in bold.