1. A method for locating a regularly configured object within a digital image, said method comprising the steps of: computing a plurality of primary rotated integral images of said digital image, each said primary rotated integral image having a different in-plane rotation; deriving from each of said primary rotated integral images a set of secondary rotated integral images having further in-plane rotations relative to the respective said primary rotated integral image; defining a window within said digital image and corresponding windows of said rotated integral images; extracting the values of convolution sums of a predetermined set of feature boxes within said window, in each of said rotated integral images; reducing dimensionality of said convolution sums to provide a set of reduced sums; applying a probability model to said reduced sums to provide a best estimated derotated image of said window.