The Fundus Image Mosaicking Based on PCA-SIFT Feature Detection
Lun Yu · Microcomputer Information · 2010
It is important to determine the keypoints of stability to the image registration and mosaicking.Based on the keypoints of the traditional method of Stitching,the original image need to have clear information on the border angle or Corner feature.So the PAC-SIFT feature detection method(Principal Components Analysis-scale invariant keypoints) is introduced into image feature detecting and matching.This algorithm divisiorys the sub-region with the gradient structure features and uses principal component analys is(PCA) to reduce dimensions.Finally, the method fade by fade is used to the Image Stitching of fundus images .Experimental results indicate that the proposed approach can effectively realize the fundus image registration and smooth.