Study on an improved Hausdorff distance for multi-sensor image matching

A new modifying Hausdorff distance image matching algorithm was proposed in this paper. After the corners of two images was extracted using Harris corner detector, a kind of Hausdorff distance integrating points set coincidence numbers was presented to aim at the traditional Hausdorff distance. The accuracy of matching was improved by this modifying. Hausdorff distance coefficient matrix is calculating by corners neighborhood’s related matching. The initial matching point-pairs are obtained by the rule that the small coefficient is good matching. Finally the wrong matching point-pairs are deleted by the distance-ration invariant, the right matching point-pairs are acquired. Experimental results show that the proposed method can be easily and quickly to process the multiple sensor images.