The influence of noise on the ability to determine edge locations with radiographs is studied theoretically and experimentally. Four imaging systems having different spread functions are analyzed. For each case the direct approach and the derivative method are utilized. It is shown that an optimal pixel size exists for which the edge location is found with minimum error.