Image Matching Algorithm Combining SIFT with Region Segmentation
丘文涛 QIU Wen-tao, 赵建 ZHAO Jian, 刘杰 Liu Jie · Chinese Journal of Liquid Crystals and Displays · 2012
Aiming at solving the situation that the original SIFT algorithm can only get few number of matching points if there are a few regions similar to the matching image on the reference image,which will affect the estimation of parameters in the transformation model,this paper proposed a method combining SIFT with region segmentation.Compared to the original method,our method can obtain much more correct matching points,and is less time consuming.The experiments demonstrate that our method can acquire nearly 30 times more correct matching points than the original one.Combining region segmentation with the original SIFT feature matching,this method can eliminate at least 90% of the erroneous matching points,besides the improved algorithm can lower the computational burden.