Image processing method and device and readable storage medium

Abstract

The invention relates to an image processing method and device, and a readable storage medium. The method comprises the steps of obtaining a plurality of to-be-processed sequence images; wherein the plurality of sequence images are acquired by the image acquisition equipment in the moving process, and the image acquisition equipment has a pre-calibrated first parameter; according to the first parameter, determining a first coordinate corresponding to the feature point in each sequence image; when it is determined that the feature points are not located on the same plane according to the firstcoordinates, adjusting the calibration parameters of the sequence images from the first parameters to the second parameters; according to the second parameter, determining a second coordinate corresponding to the feature point in each sequence image; and under the condition of determining that the feature points are located on the same plane according to the second coordinates, performing splicingprocessing on the plurality of sequence images to obtain a spliced image. According to the image processing method provided by the embodiment of the invention, the distortion degree of the spliced image can be effectively reduced.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to an image processing method, device and readable storage medium. Background technique [0002] Imaging spectrometer is a sensor that combines spectral technology and imaging technology to obtain spatial information and spectral information at the same time. Imaging spectrometers work in two common ways: push-broom and swing-broom. In the push-broom working method, the UAV flies over the target area at an appropriate speed, and then performs data cube synthesis and image stitching on the captured images. [0003] In the image stitching process corresponding to the push-broom type of work, affine transformation is usually used as the geometric transformation model between images, but the premise of doing this is that the camera is always shooting vertically to the ground to ensure that the pose does not change, but During the actual flight, due to the disturb...

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Problems solved by technology

[0003] In the image stitching process corresponding to the push-broom type of work, affine transformation is usually used as the geometric transformation model between images, but the premise of doing this is that the camera is always shooting vertically to the ground to ensure that the pose does not change, but During the actual flight, due to the disturbance of weather and other factors, it is difficult to ensure that the camera is always shooting vertically to the ground, so there may be errors in the pose between the two captured images. After shooting multiple images continuously, the accumulated pose error may be Make the spliced ​​image produce obvious distortion

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