Research on Image Matching of Improved SIFT Algorithm Based on Stability Factor and Feature Descriptor Simplification
نویسندگان
چکیده
In view of the problems long matching time and high-dimension high-matching rate errors traditional scale-invariant feature transformation (SIFT) descriptors, this paper proposes an improved SIFT algorithm with added stability factor for image matching. First all, was increased during construction scale space to eliminate points unstable points, speed up processing reduce dimension amount calculation. Finally, experimentally verified showed excellent results in experiments on two data sets. Compared other algorithms, that proposed efficiency, shortened image-processing time, reduced error.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2022
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app12178448