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- W2349112850 abstract "Aiming at the shortcoming which is poor effect of spectral image registration method,we present a new feature point matching algorithm that bases on the combination of PCA algorithm and clustering algorithm and introduce re-registration method into the registration process. Firstly,we extract SURF feature points and describe these feature points,and then match the feature points by the feature point matching algorithm proposed in this paper to complete the first registration. Finally we regard the first registration results as the initial values and implement accurate registration by using the improved Powell algorithm on the base of image gray information. Experimental results show that the method has high registration precision,and can shorten the time of spectral image registration effectively." @default.
- W2349112850 created "2016-06-24" @default.
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- W2349112850 date "2015-01-01" @default.
- W2349112850 modified "2023-09-23" @default.
- W2349112850 title "Spectral image registration method based on principal components and clustering matching" @default.
- W2349112850 hasPublicationYear "2015" @default.
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