Contour analysis-based matching of ground objects in aerial images

An original approach to matching images is proposed based on the technique of comparison of the structure of contours. The technique for detecting contours is reinforced by combining the use of data from independent contours and contours that are the boundaries of regions. For this purpose, several assumptions and simple rules of general nature are formulated. Contours are identified based on local salient features of their one-dimensional representation. To avoid ambiguity in identifying contours, the technique of dynamic programming is harnessed. All computational procedures are invariant to image rotation. In conclusion the developed method is applied to the problem of matching image fragments in aerial images.