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Vol. 170, Issue 5, May 2014, pp. 281-286




Research on the Matching Algorithm Based on SURF

1 Zhenjie HOU, 2 Dezheng YUAN, 1 Junsheng HUANG and 1 Zhuoran WU

1 School of Information Science and Engineering, Changzhou University, Changzhou, 213164, China
2 School of Mathematics and Physics, Jiangsu University of Technology, Changzhou, 213000, China

E-mail: hhderek@163.com


Received: 27 February 2014 /Accepted: 30 April 2014 /Published: 31 May 2014

Digital Sensors and Sensor Sysstems


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.


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