Internal and External Salient Points under Affine Transformations: Comparative Study

Abstract

Permanently a special emphasis is given to image processing considering geometric distortions for remote sensing, and image tracking especially. We discuss an approach to affine transformation parameters search on the base of salient points which can be external and internal relative to shapes. To find affinity we use sets of image binary cuts and one-to-one point correspondence. This correspondence is determined by means of the affine-equivalent shape ratio invariance. We investigate two types of salient points on the base of binary morphology. First ones are vertices of convex hulls and second ones belong to skeletons. Finally, solution of overdetermined system of linear equations gives us affine transformation parameters. Results of the exterior points and skeleton normalization methods comparative analysis are discussed.