Image matching method with large edge distortion
An image matching and edge technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of strict geometric constraint model gross error elimination, unable to match points, too large search range, etc., to achieve stable matching results, The matching scheme is feasible and the effect of high precision
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[0016] It should be understood that the idea of the present invention is to perform high-precision matching of large edge distortion images based on image segmentation and multi-level multi-features. The implementation of the present invention includes rough matching of pyramid images, multi-level multi-feature matching rule grid construction, multi-level multi-feature matching, gross error elimination rule grid construction, cyclic iteration gross error elimination within the grid, overall loop iteration gross error elimination, etc. rough and method.
[0017] In the present invention, the high-precision registration process specifically includes:
[0018] Step 1: Establish pyramid images at all levels for the image to be matched and the reference image for rough matching.
[0019] Step 2, using the rough matching result of step 1, using the overall affine transformation model to construct a geometric model to eliminate parallax;
[0020] Step 3: Segment and block the ima...
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