Comparison of two-sample tests for edge detection in noisy images

Journal of the Royal Statistical Society Series D: The Statistician

Volumn 51, Issue 1, 2002, Pages 21-30

  Lim, Dong Hoon ^a   Jang, Seung Ju ^b  

^a Gyeongsang National University   (South Korea)

^b Dong Eui University   (South Korea)

Author keywords

Edge detection; Kolmogorov Smirnov test; Noisy images; Sobel operator; T test; Two sample test; Wilcoxon test

Indexed keywords

EID: 0040076642     PISSN: 00390526     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9884.00295     Document Type: Article

References (8)

1. Bovik, A. C., Huang, T. S. and Munson, D. C. (1986) Nonparametric tests for edge detection in noise. Pattn Recogn, 19, 209-219.
2. Fesharaki, M. N. and Hellestrand, G. R. (1994) A new edge detection algorithm based on a statistical approach. In Proc. Int. Symp. Speech, Image Processing and Neural Networks, Hong Kong, pp. 21-24. New York: Institute of Electrical and Electronics Engineers.
3. Hollander, M. and Wolfe, D. A. (1973) Nonparametric Statistical Methods. New York: Wiley.
4. Huang, J. S. and Tseng, D. H. (1988) Statistical theory of edge detection. Comput. Vis. Graph. Im. Process., 43, 337-346.
5. Jain, A. K. (1989) Fundamentals of Digital Image Processing. Englewood Cliffs: Prentice Hall.
6. Lyon, D. A. (1999) Image Processing in JAVA. Englewood Cliffs: Prentice Hall.
7. Pratt, W. (1978) Digital Image Processing. New York: Wiley.
8. Thune, M., Olstad, B. and Thune, N. (1997) Edge detection in noisy data using finite mixture distribution analysis. Pattn Recogn, 30, 685-699.