32. The apparatus of claim 18 wherein the processor is further configured to compute a plurality of attributes for the plurality of points in the subject image to be applied to the trained classifier, and apply a plurality of points in the subject image and the computed attributes for those points to the trained classifier to generate the second data.
33. The apparatus of claim 32 wherein the attributes comprise at least two members of the group consisting of an image intensity, an image location, an image gradient and gradient magnitude, a plurality of eigen-values of a Hessian matrix for the subject image, an image texture measure, a local image patch, a Hear feature, HOG, SIFT, and a local binary pattern.