Cross-correlation digital registration techniques for multispectral cell images.

Several variants of the cross-correlation technique of automatic digital image registration are tested and compared on a set of multispectral images of lymphoblastic bone marrow cells. Factors investigated are normalization, application of a gradient and subtraction of the average image density from each image point. Several of the variants are shown to have low error rates. A gradient method requiring a small degree of manual intervention is concluded to be the most sensitive approach.