Others/Odds & Ends

다양한 이진화 알고리즘들의 테스트 결과

neverabandon 2020. 6. 1. 10:49

참고문헌

1. 파라미터 기반 Local Adaptive Thresholding 기법들

[1]. Bernsen J. (1986) "Dynamic Thresholding of Grey-Level Images" Proc. of the 8th Int. Conf. on Pattern Recognition, pp. 1251-1255

[2]. Niblack W. (1986) "An introduction to Digital Image Processing" Prentice-Hall

[3]. Sauvola J. and Pietaksinen M. (2000) "Adaptive Document Image Binarization" Pattern Recognition, 33(2): 225-236

[4]. Savakis A.E. (1998) "Adaptive Document Image Thresholding Using Foreground and Background Clustering" Proc. of the IEEE Int. Conf. on Image Processing, 3: 785-789

 

2. 비파라미터 기반 Global Automatic Thresholding 기법들

[1]. N. Otsu,"A threshold selection method from gray level histograms," IEEE Trans. Syst. Man Cybern. SMC-9, 62-66(1979).

[2]. J. Kittler and J. Illingworth, "Minimum error thresholding." Pattern Recogn. 19, 41-47(1986).

[3]. Ridler T.W. and Calvard S. (1978) "Picture Thresholding Using an Iterative Selection Method" IEEE Trans. on System, Man and Cyberetics SMC-8(8): 630-632

[4]. Tsai W.H. (1985) "Moment-Preserving Thresholding: A New Approach" Graphical Models and Image Processing, 29(3): 377-393

[5]. Huang L.-K. and Wang M.-J.J. (1995) "Image Thresholding by Minimizing the Measures of Fuzziness" Pattern Recognition, 28(1): 41-51

[6]. Li C.H. and Tam P.K.S. (1998) "An Iterative Algorithm for Minimum Cross Entropy Thresholding" Pattern Recognition Letters, 18(8): 771-776

[7]. Yen J.C., Chang F.J., and Chang S. (1995) "A New Criterion for Automatic Multilevel Thresholding" IEEE Trans. on Image Processing, 4(3): 370-378

[8]. Kapur J.N., Sahoo P.K., and Wong A.K.C. (1985) "A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram" Graphical Models and Image Processing, 29(3): 273-285

 

  • 입력 영상

 

  • 1) Bernsen 결과(window size = 31, contrast = 15)

 

  • 2) Niblack 결과(window size = 31, k = -0.2)

 

  • 3) Sauvola 결과(window size = 31, k = 0.5, r = 128)

 

  • 4) Savakis 결과(window size = 31, global threshold method = otsu)

 

  • 5) Otsu 결과(Find Threshold Values = 154)

 

  • 6) Kittler 결과(Find Threshold Values = 252)

 

  • 7) Ridler 결과(Find Threshold Values = 158)

 

  • 8) Tsai 결과(Find Threshold Values = 153)

 

  • 9) Huang 결과(Find Threshold Values = 232)

 

  • 10) Li 결과(Find Threshold Values = 80)

 

  • 11) Yen 결과(Find Threshold Values = 127)

 

  • 12) Kapur 결과(Find Threshold Values = 127)