Image registration method and device, electronic equipment and storage medium

Abstract

The invention discloses an image registration method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a template image and a target image, andrespectively carrying out down-sampling layering processing on the template image and the target image to obtain a template image set and a target image set with pyramid structures with the same number of layers; performing rotation processing on each image in the image set corresponding to the template image to obtain at least one to-be-registered image corresponding to each pyramid layer, thereby obtaining a multi-scale and multi-angle template image; based on a pyramid structure, performing correlation registration on at least one to-be-registered image of the same layer number and a corresponding image in the target image set layer by layer to obtain a target registration area, matched with the template image, in the target image; therefore, multi-scale registration of the image is achieved, and therefore the speed and precision of image registration are improved, and meanwhile, multi-angle registration of images is realized, and the invention is suitable for high-precision registration of target images which rotate randomly.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image registration method, device, electronic equipment, and storage medium. Background technique [0002] Image matching is the process of superimposing two or more images of the same scene taken at different times, different viewing angles, and / or different sensors, to achieve geometric alignment between the reference image and the sensed image. Image matching is a critical step in all image analysis tasks to obtain the final information in the combination of various data sources such as image fusion, change detection, and multi-channel image restoration. Typically, image matching can be applied in remote sensing (multispectral classification, environmental monitoring, change detection, image stitching, weather forecasting, creation of super-resolution images, integration of information into GIS), medicine (combining computed tomography an...

AI Technical Summary

Problems solved by technology

Among them, although the feature-based matching method can convert the analysis of the entire image into the analysis of image features (feature points, lines, etc.), this method has higher requirements for the selection of features, that is, the features must be the target to be tested. Shared with the original image and evenly distributed, poor real-time performance

The matching method based on image understanding relies on AI and other means to give an explanation to the target to be tested, but some simplifications are made to reduce the complexity of the algorithm during implementation, which makes the description relationship incomplete and the matching accuracy low

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