Multi-feature multi-level visible light and infrared image high-precision registering method
An infrared image and visible light technology, applied in the field of image processing, can solve the problems of difficulty in obtaining, restricting practicability, serious dependence on initial value, etc., achieving good economic benefits, good versatility and practicability, and promoting wide application.
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[0030] According to a specific implementation manner of the present invention, the multi-scale decomposition in this embodiment is realized by down-sampling. Although multi-scale decomposition can be realized by various methods such as wavelet pyramid and Gaussian pyramid, the calculation amount is much larger than that of downsampling; and in the fine registration stage, SIFT features must be extracted from the original image. Therefore, the multi-scale decomposition method based on downsampling can greatly reduce the amount of computation while maintaining the registration accuracy.
[0031] Step S2: rough registration. Extract SIFT (Scale-invariant Feature Transform, scale-invariant feature transform) features, multi-scale corner features and surface features on low-resolution image pairs, use the nearest neighbor method to match SIFT features and remove outliers, use the matched SIFT feature pairs and GDBICP method to get the initial transformation model;
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