Image group registration method combined with image gray feature and structured representation

Abstract

An image group registration method combined with a gray feature and structured representation comprises the following steps of 1) acquiring an original image from a machine, acquiring the structured representation of the image, and inputting the structured representation and the original image as inputting data; 2) continuously performing affine transformation on the input image, and calculating the similarity of the image after affine transformation, thereby optimizing the similarity of the image after affine transformation; and 3) continuously performing B spline transformation on the image with the optimal similarity after affine transformation, and calculating the similarity of the image after B spline transformation so that the similarity of the image after B spline transformation is optimal, thereby obtaining a final fine registration image. The image group registration method combined with the image gray feature and structured representation has advantages of effectively increasing registration effective information, relatively reducing useless information and realizing relatively high configuration precision.

Description

technical field [0001] The invention relates to the field of image registration, in particular to a method for group registration of images. Background technique [0002] Image registration is to spatially calibrate two or more images of the same scene acquired by different sensors or the same sensor at different times, so that the information expressed in space by the corresponding pixels of the reference image and the floating image after registration is consistent. [0003] Registration methods can be divided into pairwise registration and group registration according to the number of input images. Pairwise image registration generally specifies a reference image and a floating image; group registration generally does not specify a reference image, and multiple images are registered at the same time. In the registration method, according to the image features used, it can be mainly divided into registration methods based on image geometric features, registration methods ...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the disadvantages that the input image contains a large amount of image information, the registration accuracy is low, and a suitable reference image cannot be selected during registration, the present invention provides a method that effectively increases registration effective information, relatively reduces useless information, and configuration accuracy Higher Image Group Registration Method Fused with Grayscale Features and Structured Representation

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