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- W3045262562 abstract "Image matching is the most important factors that restrict image fusion technology development. The quality of image matching is directly related to the quality of image fusion. The image with low matching degree will have serious distortion in fusion, and high-precision matching is a NP problem. The method of coarse matching + fine matching is adopted. In the coarse matching, the nearest neighbor and the next nearest neighbor Euclidean distance ratio are used as the similarity criteria of feature point matching to screen out the coarse matching point pairs; in the fine matching, the RANSAC algorithm is used to filter the coarse matching point pairs, and the outer points are removed to get the fine matching point pairs required by the transformation matrix. Through this matching method, the accuracy and speed of matching are improved, which lays a foundation for the realization of high-quality image fusion." @default.
- W3045262562 created "2020-07-29" @default.
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- W3045262562 date "2020-07-21" @default.
- W3045262562 modified "2023-10-16" @default.
- W3045262562 title "Image Feature Matching Before Image Fusion" @default.
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- W3045262562 doi "https://doi.org/10.1007/978-3-030-51556-0_49" @default.
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