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A differentiation/enhancement edge detector for noisy situations is proposed. The definition of the gradient has been initiated from the algorithm for finding a border in a binary picture. The advantages of this operator have been compared with those of other widely used operators. A measurement of error in extracting edges by thresholding the gradient has also been suggested, and for the detection of acceptable edges, the optimum threshold is chosen corresponding to the minima in the error function.