Image splicing method based on improved image fusion
An image stitching and image fusion technology, applied in the field of image processing, can solve the problems of low real-time performance and low accuracy
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[0088] This embodiment provides an image stitching method based on improved image fusion, the method comprising:
[0089] (1) Use the A-KAZE algorithm to extract feature points from the target image and the reference image, and establish a feature descriptor set;
[0090] (2) Construct a KD-tree from the feature descriptor set obtained from the target image and the reference image in step (1), establish a feature point data index, use the bidirectional KNN matching algorithm to perform feature point matching, and obtain set C, set C The matching pair in is the result of the initial matching. For the initial matching result, the RANSAC algorithm is used to remove the outer points and retain the inner points, calculate the affine transformation matrix H between the target image and the reference image, and unify the target image and the reference image into the same coordinate system , obtain the registration image, and complete the image registration; the feature descriptor set...
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