Method, device, electronic device and storage medium for automatic correction of overlapping images

Abstract

The invention provides an automatic correction method and device for overlapped images, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-corrected eclosion region which is a part of region located in an overlapped region with the same geographic position on two spliced images; correcting pixel points on a first eclosion area on one of the two imagesin the eclosion area on the basis of the eclosion area; determining a transition area on the image according to a predetermined transition distance by taking an eclosion side line on one side, close to a non-overlapping area on the image, of the first eclosion area as a starting line, wherein the transition region is located in the overlapping region; and correcting the coordinates of the pixel points in the transition area. While the image processing complexity is reduced, the situation that the pixel points of the spliced image are dislocated is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular, to an automatic correction method, device, electronic equipment and storage medium for overlapping images. Background technique [0002] Most of the existing automatic image registration and correction technologies perform image stitching after each image is registered and corrected. If there is a small amount of image stitching, this method can be used for image registration and correction, but if It is the automatic stitching of massive images, and this method highlights its limitations. For example, the overall geometric accuracy of the images needs to be changed. Correcting all of them is time-consuming and labor-intensive, and it is also prone to error transmission. At the same time, although the existing technology has processed the feathered area in the overlapping area on the stitched image to correct the pixels in the feathered area, it is not necessary...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing automatic image registration and correction technologies perform image stitching after each image is registered and corrected. If there is a small amount of image stitching, this method can be used for image registration and correction, but if It is the automatic stitching of massive images, and this method highlights its limitations. For example, the overall geometric accuracy of the images needs to be changed. It is time-consuming and labor-intensive to correct all of them, and it is also prone to error transmission

At the same time, although the existing technology has processed the feathered area in the overlapping area on the stitched image to correct the pixels in the feathered area, it is not necessary to stitch the image after the registration is corrected, but the stitched There will still be pixel misalignment in the image

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