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임동훈(Dong Hoon Lim),성신희(Sim Hee Sung) 한국정보처리학회 2000 정보처리학회논문지 Vol.7 No.3
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.