2. The method as recited in claim 1 , wherein defining the plurality of candidate edge points comprises, for each of a plurality of portions of the image data: calculating one or more statistics corresponding to the portion; estimating one or more distributions of statistics corresponding to the portion; determining whether a statistically significant difference exists between one or more of the statistics calculated for the portion and the distribution of statistics estimated for the portion; and designating a point corresponding to the statistically significant difference as a candidate edge point in response to determining the statistically significant difference exists.
2. The method as recited in claim 1 , wherein defining the plurality of candidate edge points comprises, for each of a plurality of portions of the image data: calculating one or more statistics corresponding to the portion; estimating one or more distributions of statistics corresponding to the portion; determining whether a statistically significant difference exists between one or more of the statistics calculated for the portion and the distribution of statistics estimated for the portion; and designating a point corresponding to the statistically significant difference as a candidate edge point in response to determining the statistically significant difference exists. 5. The method as recited in claim 2 , wherein each portion is defined along a path proceeding from an outer region of the image toward a center of the image.