SIFT image matching algorithm in view of improved SUSAN operator and affine invariance

摘要：

　　To improve the matching efficiency of SIFT algorithm,proposing a SIFT image matching algorithm,which in view of improved SUSAN operator and affine transformation.in view of the improved SUSAN operator to extract feature points,using Gabor filter smooth the image,improving feature point position,direction resolution and noise robustness; in view of affine transformation invariance,eliminating mismatched points.Experiments show that the matching efficiency of the algorithm is significantly improved.

作者: Peng Zhao Suolin Duan

作者单位: Robot Research Institute of Changzhou University,Jiangsu Province,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Application of Materials Science and Energy Materials (SAMSE 2018) 第二届材料科学应用与能源材料国际研讨会2018年

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-12-17（万方平台首次上网日期，不代表论文的发表时间）