Block Image Registration Method Based On Harris Corner Detection

For traditional Harris corner detection,threshold is a global value and has not the property of scale invariant,which cannot get a satisfied result in the image of corner detection,especially in larger images.A new image registration based on multi-scale Harris detector is represented in this paper.At first,it blocks the images,sorts correspondingly,and extracts Harris corner according to local threshold,then initially matches the images through the ratio between the distances of the nearest neighbor to the point and the second-nearest neighbor to the point.At last,image registration is carried out according to the gray information around the points.The experiment proved that this method makes the precision and efficiency of image registration improved greatly.