Image mosaic method based on RANSAC
Jianwen Mo · Jisuanji gongcheng yu sheji · 2009
To solve the fixed thresholds of common SUSAN corner detection and the homography accuracy problems caused by the corner directly preliminary match using NCC,an improved RANSAC method is put forward here.The image feature points is extracted by corner extraction algorithm with adaptive threshold and NCC is carried out again by the guide matching method.The number of matching points is increased and estimated effects of the homography is improved.Finally,hierarchical fusion for image registrated is achieved using laplace pyramid method.The results show that this method is better than the common method for estimating the effect of the matrix and has a good mosaic effect.