Research on image stitching algorithm based on improved SURF features

Weiquan Chen; Huangfei Chen; Jisong Chen; Zhiwei Yang

doi:10.1117/12.2684604

1 August 2023 Research on image stitching algorithm based on improved SURF features

Weiquan Chen, Huangfei Chen, Jisong Chen, Zhiwei Yang

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 1275426 (2023) https://doi.org/10.1117/12.2684604
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

To address the problems of uneven feature points extracted by traditional SURF algorithm in image stitching, low correct matching rate and high time complexity, this paper proposes a fast image stitching algorithm based on improved SURF features. Firstly, we use the advantages of robustness and low complexity of SURF algorithm to detect feature points; secondly, we use the advantages of FLANN algorithm to adjust parameters for accuracy improvement to match feature points; thirdly, we use RANSAC algorithm to remove feature points with incorrect matching and perform the calculation of single response matrix to find the best model matching pair and reduce the error; finally, we use OpenCV Stitcher is used for image stitching and fusion. The experiments show that the algorithm has better robustness than the traditional SURF algorithm under various complex situations such as image angle rotation, brightness change, scale scaling, etc., and can better improve improve the matching accuracy and matching efficiency.

Citation Download Citation

Weiquan Chen, Huangfei Chen, Jisong Chen, and Zhiwei Yang "Research on image stitching algorithm based on improved SURF features", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 1275426 (1 August 2023); https://doi.org/10.1117/12.2684604

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KEYWORDS

Image fusion

Feature extraction

Image processing

Matrices

Image quality

Wavelets

Data modeling

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