1. An image registration method comprising: acquiring a first image and a second image of a scene using a processor to perform the steps of: detecting edges in the first image and the second image; calculating a percentage of pixels corresponding to a detected edge in a subset of the second image that match a detected edge in the first image shifted by a translation; defining a best registration point based on a maximum percentage of edges matched; applying within a pre-defined search region an alpha-level statistical test of a null hypothesis that average match probabilities are equal between the best registration point and each remaining point in the pre-defined search region; using the alpha-level statistical test to identify all registration points within the pre-defined search region, other than the best registration point, that have a p-value exceeding a specified alpha level; and determining a 100(1-alpha) % statistical confidence set consisting of the best registration point and all other registration points having the p-value exceeding the specified alpha level, in the alpha-level statistical test of the null hypothesis.