Dependence of sub-pixel accuracy of edge detection in 1-D images on number of used samples

This paper deals with the study of dependence of subpixel accuracy of edge detection in 1-D images on number of used samples. Our study includes four methods for edge detection with sub-pixel accuracy in 1-D images: method based on approximation of real image function with erf function, moment-based edge operator, technique using spatial moments of the image function and the method based on wavelet transform of image. The paper presents results of simulations as well as of experiments to illustrate impact of number of samples on edge detection accuracy.