A New Method for Image Registration Based on Condition Number
一种新的基于条件数的图像配准算法

In this paper,a novel Harris corner detection algorithm based on condition number is proposed.Firstly feature points are extracted using Harris corner detector which usually leads to either missing significant corners or detecting false corners due to noise.To overcome these drawbacks,condition number,which investigates the relationship between noise and the transformation of images,is used to screen out the steady points.Then a new match method called Random Sample Consensus(RANSAC) is applied to determine matching pairs.A number of experiments demonstrate the accuracy,efficiency and robust of the approach.