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| Research on Optimized SURF Image Mosaic Algorithm |
| DU Fangfang,GAN Shukun*,LV Xuefei
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| School of Mechatronic Engineering,Jilin Institute of
Chemical Technology, Jilin City 132000, China |
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Abstract This paper proposes an improved optimization algorithm
based on SURF image Mosaic algorithm. First, in view of the high computational
complexity and low matching accuracy of SURF algorithm when extracting feature
points, the principal component analysis method is used to optimize SURF
algorithm to reduce the data dimension of feature points, thus reducing the
computational workload and improving the matching accuracy. The experimental
results show that the proposed optimized SURF image splicing algorithm has
higher efficiency and accuracy in the process of extracting feature points and
matching, and has achieved significant improvement in image splicing effect.
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Published: 25 July 2024
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