Adaptive threshold based SIFT image registration algorithm

Hao Qiu; Shuaishuai Peng

doi:10.1117/12.2644210

9 September 2022 Adaptive threshold based SIFT image registration algorithm

Hao Qiu, Shuaishuai Peng

Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 1232819 (2022) https://doi.org/10.1117/12.2644210
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China

Abstract

The adaptive threshold based SIFT image registration algorithm (AT-SIFT) is proposed to improve the traditional SIFT algorithm which has the problems of large calculation amount, single matching constraint, and low registration accuracy. Feature points are detected and described by combining FAST operators with and SIFT descriptors. The FLANN algorithm based on adaptive threshold and the improved RANSAC algorithm are used to remove the mis-matching points and solve the transformational matrix. The experimental results show that the algorithm not only improves the matching speed and accuracy but also has relatively strong robustness.

Citation Download Citation

Hao Qiu and Shuaishuai Peng "Adaptive threshold based SIFT image registration algorithm", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 1232819 (9 September 2022); https://doi.org/10.1117/12.2644210

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