The edges of an image hold much of the information in that image. The edges tell where objects are, their shape and size, and something about their texture. An edge is where the intensity of an image moves from a low value to a high value. We propose ...
The edges of an image hold much of the information in that image. The edges tell where objects are, their shape and size, and something about their texture. An edge is where the intensity of an image moves from a low value to a high value. We propose an efficient edge detection using Van der Waerden's statistic using the threshold determined by specifying significance level and an edge-height parameter in images. We describe a nonparametric Wilcoxon test based on statistical hypothesis testing for the detection of edges. Comparison with our statistical test and the differential operator with Sobel operator shows that Van der Waerden method performs more effectively in both noisy and noise-free images.