Cylindrical surface image correction method based on polynomial fitting

Abstract

The invention relates to a cylindrical surface image correction method based on polynomial fitting. The cylindrical surface image correction method based on polynomial fitting comprises steps of setting a coordinate of a point on a standard image as (x,y) and a coordinate of a corresponding pixel point on a cylindrical surface bending image as (u,v), establishing a corresponding relation between the two coordinates, choosing at least six points of remarkable characteristics of the cylindrical surface bending image as control points to perform calculation according to a least square method, obtaining an aig and a big which are coefficient matrixes satisfying conditions when an error of the least square is a minimal value, establishing an image correction model, performing one-by-one point correction on the cylindrical surface bending image according to an established image correction model, and using a bilinear interpolation method to perform interpolation processing on the image after one-by-one point correction is finished so as to finish image correction of a cylindrical surface distorted image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing and relates to an image correction method. Background technique [0002] With the continuous progress and development of modern technology, images play an increasingly important role in daily life. After the image is acquired by the device, the corresponding target needs to be positioned, tracked, detected or identified through the image processing method. The complexity or the influence of some specific environments often make the final image have a certain distortion relative to the real object, and even cause serious distortion of the image, such as imperfect photosensitive element technology or defects in lens design, accompanied by technology and With the advancement of technology, these impacts on image quality can be further reduced, but they cannot be fundamentally eliminated. Using image matching technology to detect is of great significance to industrial automation, im...

AI Technical Summary

Problems solved by technology

After the image is acquired by the device, the corresponding target needs to be positioned, tracked, detected or identified through the image processing method. Therefore, the captured image needs to match the real object to the greatest extent. The complexity or the influence of some specific environments often make the final image have a certain distortion relative to the real object, and even cause serious distortion of the image, such as imperfect photosensitive element technology or defects in lens design, accompanied by technology and With the advancement of technology, these impacts on image quality can be further reduced, but they cannot be fundamentally eliminated.

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