  This paper proposes a novel method which combines both median filter and
simple standard deviation to accomplish an excellent edge detector for image
processing. First of all, a denoising process must be applied on the grey scale
image using median filter to identify pixels which are likely to be
contaminated by noise. The benefit of this step is to smooth the image and get
rid of the noisy pixels. After that, the simple statistical standard deviation
could be computed for each 2X2 window size. If the value of the standard
deviation inside the 2X2 window size is greater than a predefined threshold,
then the upper left pixel in the 2?2 window represents an edge. The visual
differences between the proposed edge detector and the standard known edge
detectors have been shown to support the contribution in this paper.
