Statistical Tests for Edge Detection


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 7, No. 3, pp. 1021-1024, Mar. 2000
10.3745/KIPSTE.2000.7.3.1021,   PDF Download:

Abstract

In this paper we describe a nonparametric Wilcoxon test and a parametric Z test based on statistical hypothesis testing for the detection of edges. We use the threshold determined by specifying significance level , while Bovik, Huang and Munson[4] consider the range of possible values of test statistics for the threshold. From the experimental results of edge detection, the Z method performs sensitively to the noisy image, while the Wilcoxon method is robust over both noisy and noise-free images. Comparison with our statistical tests and Sobel operator shows that our tests perform more effiectively in both noisy and noise-free images.


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Cite this article
[IEEE Style]
D. H. Lim and S. H. Sung, "Statistical Tests for Edge Detection," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 3, pp. 1021-1024, 2000. DOI: 10.3745/KIPSTE.2000.7.3.1021.

[ACM Style]
Dong Hoon Lim and Sim Hee Sung. 2000. Statistical Tests for Edge Detection. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 3, (2000), 1021-1024. DOI: 10.3745/KIPSTE.2000.7.3.1021.