Research on the Matching Algorithm Based on SURF

Abstract

Image matching is an important work in the field of computer image processing, the technology aligned same scene of two or more images obtained by different sensors in different or the same imaging conditions to determine the relationship between them. Based on the SURF algorithm, this paper adopts density threshold suppression strategies to reduce number of matched feature points; using the quasi Euclidean distance to complete the feature points matching process. Because the multiplication calculation only needs one time and decreases distance calculation deviation, the improved algorithm greatly reduced the feature points matching time and improves the matching accuracy. Through theoretical analysis and experimental contrast, demonstrates the reliability and validity of the algorithm.

Keywords

• Image matching
• Density threshold suppression
• Quasi Euclidean
• SURF.