Flat-field correction method and device, image verification method and device

Abstract

Embodiments of the present invention provide a flat field correction method and device, and an image verification method and device. The flat-field correction method uses the camera after adjusting the exposure time and gain to obtain dark-field images, which avoids misoperation caused by artificially shielding the lens, thereby improving the quality of dark-field images. At the same time, the dark-field images are obtained by adjusting camera parameters The operation amount is reduced, and the acquisition efficiency of dark field images is effectively improved. The flat-field correction method performs average filtering on the gray value of each pixel in the backup bright-field image to filter out high-frequency components, thereby weakening the fine particles on the white reference object, uneven texture, and dust on the glass sheet. The quality of the backup bright-field image caused by the condition is impaired, and the quality of the bright-field image is effectively improved. The embodiment of the present invention improves the correction accuracy of flat-field correction by improving the quality of dark-field images and bright-field images, and avoids manual operations to acquire dark-field images, thereby improving the acquisition efficiency of dark-field images.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and more specifically, to a flat-field correction method and device, and an image verification method and device. Background technique [0002] When the camera is used to image the target object, the gray value of all pixels in the image is theoretically the same. However, the value of each pixel in the actual image often has a large difference. The reasons for this difference mainly include the following: (1) The illumination of the target object is not uniform; (2) The responsivity of the center of the camera lens is inconsistent with the response of the edge of the camera lens; (3) Each pixel in the imaging component of the camera The point response is inconsistent, that is, the ability of each pixel to convert light into charge is different; (4) Fixed Pattern Noise (PFN) of the camera. [0003] Flat-field correction is a correction method used to eliminate the ...

AI Technical Summary

Problems solved by technology

Not only is the efficiency low, but it is also very prone to misoperation due to improper manual coordination, which reduces the quality of dark field images

Bright field images need a white reference object when shooting. In actual shooting, the quality of bright field images may be damaged due to fine particles, uneven texture, dust, etc. on the white reference object.

The reduction of dark field image quality and bright field image quality will reduce the accuracy of flat field correction, which will affect the correction of the gray value of each pixel in the image and affect the shooting quality of the camera.

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