A very common operation in optical processing is cross correlation of an input scene with a filter to extract information from the input scene. For instance, in the identification mode a correlation surface should contain a high value at the location corresponding to the position of the object in the input space and significantly lower values at all other locations. The performance of this operation is unfortunately degraded when the input contains noise, or the object is distorted, rotated, shifted, occluded, or changes in aspect. A corrupted input requires that the filter have some generalization capability. This capability is usually gained at the expense of the peak sharpness and height. Thus, filter architectures that mold the correlation surface to effectively trade peak sharpness and generalization need to the considered. This paper considers several filters of the SDF family with regard to their ability to shape the output correlation surface.