Color correction and restoration system and color correction and restoration method

Abstract

The invention discloses a color correction and restoration method and system. The color correction and restoration method includes: Step A: sequentially shooting a plurality of pieces of color card paper having different colors and placed in a correction and restoration area; Step B: calculating a scaling factor of color card shooting RGB values of each of the plurality of pieces color card paper pictures in each pixel position in a correction and restoration area and standard RGB values of the color card paper, generating a scaling factor table according to calculation results and storing the scaling factor table and the corresponding color card paper pictures in a storage in an associated manner; Step C: shooting an object placed in the correction and restoration area; and Step D: calculating object shooting RGB values of a picture of the object in each pixel position in the correction and restoration area, and performing correction and restoration on the picture of the object according to the plurality of color card paper pictures and the associated scaling factor table in the storage. The color correction and restoration method and system is accurate in correction, and can improve the accuracy of a color classification system.

Description

technical field [0001] The present invention relates to a color classification system, more specifically, to a color correction restoration system and a color correction restoration method. Background technique [0002] With the continuous development of science and technology, automated production has become more and more important, and in automated classification, color classification is particularly affected by the environment, especially the impact of light intensity. The camera converts the number of photons received by the electronic components into the corresponding charge, and then converts the charge into the corresponding RGB value. Therefore, the color effect of the camera is closely related to the light intensity. As a result, for the same color object in reality, the color captured by the camera will be different under the condition of different light intensity, which will affect the color. Classification systems are affected. [0003] In the existing technolo...

AI Technical Summary

Problems solved by technology

Therefore, the color effect of the camera is closely related to the light intensity. As a result, for the same color object in reality, the color captured by the camera will be different under the condition of different light intensity, which will affect the color. The classification system has an impact

[0003] In the existing technology, it is very difficult to keep the light intensity of each part of a certain area almost the same, because the light intensity decreases with the increase of the propagation distance. If the required area is small, the existing technical equipment The effect is acceptable, but if the required area is large, such as some tiles with a size of 600mm*600mm, the effect of the existing technology is not ideal

On the other hand, in order to achieve a relatively stable light intensity, the cost of lighting equipment also increases with the increase of the area

In the existing color classification system, the influence caused by light intensity is not well resolved.

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