Table 5 PSNR values obtained by various optimization algorithms using EC based Otsu and Kapur methods.

From: Energy curve based enhanced smell agent optimizer for optimal multilevel threshold selection of thermographic breast image segmentation

Image

Th

Otsu

Kapur

ChBSAO ACS

SAO

DA

KH

GA

PSO

ChBSAOACS

SAO

DA

KH

GA

PSO

test10

2

15.156

14.915

14.67

13.5481

14.669

13.187

12.998

12.512

12.2

12.19

11.956

12.2

3

19.562

19.321

19.076

14.6051

19.0085

16.948

17.61

17.124

16.812

16.784

16.483

16.791

4

20.656

20.415

20.17

18.0927

20.122

18.351

22.338

21.852

21.54

21.428

21.12

21.477

5

22.586

22.345

22.1

20.2068

22.034

19.69

26.708

26.222

25.91

25.577

25.377

25.73

test11

2

15.016

14.775

14.53

14.4225

14.532

13.034

13.398

12.912

12.6

12.576

12.351

12.6

3

18.236

17.995

17.75

14.6255

17.7293

15.958

18.22

17.734

17.422

17.366

17.082

17.415

4

19.026

18.785

18.54

17.697

18.5104

17.444

23.048

22.562

22.25

21.96

21.807

22.219

5

22.016

21.775

21.53

20.1041

21.4719

19.136

27.428

26.942

26.63

26.251

26.6

26.44

test2

2

10.616

10.375

10.13

8.7132

10.134

9.078

13.088

12.602

12.29

12.276

12.043

12.289

3

11.783

11.542

11.297

10.0853

11.3151

10.156

18.098

17.612

17.3

17.005

16.955

17.076

4

12.656

12.415

12.17

11.4805

11.6385

11.644

22.378

21.892

21.58

21.246

21.159

21.355

5

18.026

17.785

17.54

14.1203

14.8925

16.861

26.519

26.033

25.721

25.223

25.335

25.273

test3

2

12.593

12.352

12.107

10.287

12.1114

10.918

13.287

12.801

12.489

12.528

12.3

12.476

3

19.532

19.291

19.046

12.1821

19.0373

17.091

18.168

17.682

17.37

17.116

17.046

17.084

4

20.999

20.758

20.513

19.1492

20.497

18.389

22.473

21.987

21.675

21.425

21.274

21.442

5

21.696

21.455

21.21

20.1831

21.1571

19.182

26.637

26.151

25.839

25.431

25.432

25.375

test30

2

15.626

15.385

15.14

14.4597

15.136

13.585

12.958

12.472

12.16

12.11

11.918

12.16

3

17.206

16.965

16.72

15.2292

16.6983

15.049

18.088

17.602

17.29

17.199

16.946

17.284

4

19.846

19.605

19.36

17.0289

19.188

17.418

22.668

22.182

21.87

21.694

21.436

21.826

5

20.796

20.555

20.31

19.3267

20.2358

18.212

27.158

26.672

26.36

25.978

25.831

26.193

test31

2

17.126

16.885

16.64

11.5916

16.641

14.938

12.768

12.282

11.97

11.914

11.728

11.959

3

17.892

17.651

17.406

16.8352

17.3939

15.602

17.498

17.012

16.7

16.554

16.367

16.685

4

18.826

18.585

18.34

17.3622

18.2651

16.489

21.646

21.16

20.848

20.67

20.616

20.715

5

18.926

18.685

18.44

18.2791

18.3613

16.822

26.056

25.57

25.258

24.614

24.926

24.627

test4

2

17.599

17.358

17.113

9.8767

17.116

15.145

13.088

12.602

12.29

12.28

12.043

12.288

3

19.216

18.975

18.73

17.4631

18.7028

16.911

18.248

17.762

17.45

17.236

17.098

17.328

4

19.866

19.625

19.38

18.8003

19.2365

17.488

22.688

22.202

21.89

21.534

21.464

21.745

5

20.726

20.485

20.24

19.4868

20.1937

18.129

26.888

26.402

26.09

25.523

25.65

25.713

test5

2

17.276

17.035

16.79

9.8326

16.789

15.181

12.538

12.052

11.74

11.728

11.509

11.738

3

18.776

18.535

18.29

17.1246

18.2185

16.359

17.568

17.082

16.77

16.572

16.441

16.684

4

19.416

19.175

18.93

18.2989

18.9077

17.175

22.109

21.623

21.311

21.08

21.013

21.113

5

20.076

19.835

19.59

19.3108

19.4124

17.616

26.718

26.232

25.92

25.306

25.416

25.348