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

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Zhao, Peng^1 ; Duan, Suolin^1

Robot Research Institute of Changzhou University, Jiangsu Province, China^1

关键词: Affine invariance;    Affine transformations;    Image matching algorithm;    Noise robustness;    SIFT algorithms;    SUSAN operator;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072001/pdf
DOI  :  10.1088/1757-899X/490/7/072001

学科分类：材料科学（综合）

来源: IOP

【 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.