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A fully automatic correction method, device and equipment for image color and geometric distortion

A technology of geometric distortion and correction method, applied in the field of image processing, can solve the problems of increasing the probability of misjudgment in image recognition and error in image recognition results, and achieve the effect of improving accuracy and reducing the probability of misjudgment

Active Publication Date: 2021-10-01
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If these distortions and distortions cannot be calibrated, the probability of misjudgment of image recognition will increase, which will cause relatively large errors in image recognition results.

Method used

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  • A fully automatic correction method, device and equipment for image color and geometric distortion
  • A fully automatic correction method, device and equipment for image color and geometric distortion
  • A fully automatic correction method, device and equipment for image color and geometric distortion

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Experimental program
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Effect test

Embodiment 1

[0052] see figure 1 , figure 1 It is an implementation flowchart of a fully automatic correction method for image color and geometric distortion in an embodiment of the present invention, and the method may include the following steps:

[0053] S101: Acquire image information including a target object and an extended two-dimensional code.

[0054] Wherein, the extended two-dimensional code includes a color card composed of multiple different color areas, a gray scale card composed of multiple different gray scale areas, and a two-dimensional code including positioning marks.

[0055] see figure 2 , figure 2 It is a schematic structural diagram of an extended two-dimensional code in an embodiment of the present invention. A color card composed of multiple different color areas, a gray scale card composed of multiple different gray scale areas, and an extended two-dimensional code including the two-dimensional code of the positioning mark can be preset. The two-dimensiona...

Embodiment 2

[0104] see Figure 4 , Figure 4 It is another implementation flowchart of the fully automatic correction method for image color and geometric distortion in the embodiment of the present invention, and the method may include the following steps:

[0105] S401: Acquire image information including a target object and an extended two-dimensional code.

[0106] Wherein, the extended two-dimensional code includes a color card composed of multiple different color blocks, a gray scale card composed of multiple different gray scale blocks, and a two-dimensional code containing positioning marks.

[0107] S402: Calculate the coordinates of the center points of the three position identifiers in the positioning mark respectively.

[0108] Firstly, load the captured image information, perform grayscale conversion on the loaded image information, and then perform configuration verification on the image information. Next, scan the image information line by line. The scanning path is Z-sha...

Embodiment 3

[0126] see Figure 5 , Figure 5 It is another implementation flowchart of the fully automatic correction method for image color and geometric distortion in the embodiment of the present invention, and the method may include the following steps:

[0127] S501: Acquire image information including a target object and an extended two-dimensional code.

[0128] Wherein, the extended two-dimensional code includes a color card composed of multiple different color blocks, a gray scale card composed of multiple different gray scale blocks, and a two-dimensional code containing positioning marks.

[0129] S502: Calculate the coordinates of the center points of the three position identifiers in the positioning mark respectively.

[0130] S503: Using the geometric relationship of the three position identifiers and the position of each position identifier in the image information, calculate an inverse perspective transformation matrix of the image information to obtain camera extrinsic ...

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Abstract

The invention discloses a fully automatic correction method for image color and geometric distortion, which acquires image information including a target object and an extended two-dimensional code; identifies and calculates the positioning mark of the extended two-dimensional code, and obtains the external parameters of the camera; according to the camera The external parameters perform three-dimensional rotation and translation conversion on the target image; the model fitting is performed on the edge of the color card and the edge of the gray scale card of the extended two-dimensional code to calculate the internal parameters of the camera; the lens geometry of the target image is calculated using the internal parameters of the camera Distortion correction; identify the color block and gray scale block of the extended QR code to perform color correction and gray scale correction on the target image; obtain the real image of the target object. The invention reduces the misjudgment probability of image recognition and improves the accuracy of image recognition results. The invention also discloses a fully automatic correction device, system and storage medium for image color and geometric distortion, and has corresponding technical effects.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a fully automatic correction method, device, system and computer-readable storage medium for image color and geometric distortion. Background technique [0002] The current artificial intelligence technology is developing rapidly, and computer vision technology is widely used. When using image acquisition equipment for image capture, due to the difference in lighting used, the different camera angles when shooting, and the existence of geometric distortion of the camera, etc., the image acquired by the image acquisition equipment has strong color, grayscale and geometric distortion. If these distortions and distortions cannot be calibrated, the probability of misjudgment of image recognition will increase, which will cause relatively large errors in image recognition results. [0003] To sum up, how to effectively solve the problem that the color, grayscale and...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/80
CPCG06T7/80G06T2207/10024G06T2207/30201G06T5/80G06T5/90
Inventor 王峰王宏武潘晴王晓洒刘进辉潘观潮
Owner GUANGDONG UNIV OF TECH