Image matching method by using Hausdorff distance based on vector length

Abstract

Hausdorff distance is sensitive to acnodes when using it as the measure to describe the similarity of two point sets.Therefore,a new image matching method based on Hausdorff distance of vector length was proposed.Considering the mutual correlation of pixels in the image,one pixel was connected to the others in one image,a set of vector lengths was composed,and then each pixel corresponded to one vector length set.Then,the modified Hausdorff distance between the vector length set corresponding with each pixel in template image and matching image was computed out.At last,quantified image matching results were obtained.The experiment shows that,the efficiency of the new method to deal with image matching problems in random noisy situations is so remarkable.