›› 2014, Vol. 27 ›› Issue (5): 145-.

• Articles • Previous Articles     Next Articles

SURF Algorithm for Medical Image Based on Feature Points Matching

LIU Qiao,YANG Zhengkun,LI Han   

  1. (School of Electrical and Information Engineering,Changsha University of Technology,Changsha 410114,China)
  • Online:2014-05-15 Published:2014-05-14


Image feature points fast matching in the minimally invasive surgery offers the computer real-time image recognition capabilities and improves the success rate.However,this algorithm is computationally intensive and time-consuming.A SURF-based fast image feature points matching algorithm is proposed.First,the image feature points are extracted using the SURF algorithm,then the main direction and the descriptors of the feature point are determined via Hear wavelet transform and the improved nearest neighbor search algorithm is used for matching feature points,and finally the first 50 to 100 points with the highest similarity are compared selected according to actual needs for matching experiments.Experimental results show that the algorithm has good robustness,high speed and high matching accuracy,and is of value in medical image processing.

Key words: image matching;features point;SURF;best bin first algorithm

CLC Number: 

  • TP391.41