Color calibration method, system, intelligent terminal and medium based on calibration model

Abstract

The invention discloses a color calibration method, system, intelligent terminal and medium based on a calibration model. The method includes: extracting the color data of a color card of a target color block; inputting the color data of the color card into a calibration model, and obtaining the obtained The color calibration result output by the calibration model; the calibration model is obtained by solving the parameters of the vector composed of RGB color values ​​obtained after preprocessing, and the preprocessing is to obtain the square root of each dimension color value of the RGB color value and cube roots. The calibration models used in this method are all composed of different combinations of the square root and cube root of RGB color values, and the obtained calibration result data will make the error of a single color value and the comprehensive error of the three color values ​​in actual use smaller. Then the imaging system can be accurately calibrated for color, so that the device-related RGB color space data obtained by the camera is converted into the corresponding device-independent chromaticity color space data, which ensures the color calibration effect.

Description

technical field [0001] The invention relates to the technical field of color calibration, in particular to a calibration model-based color calibration method, system, intelligent terminal and medium. Background technique [0002] In machine vision applications, color representation and color difference measurement are generally performed in the colorimetric color space. Chromaticity color space is a color space system defined based on physiological physics experiments, which mainly includes: CIE XYZ color space, CIE1976L*u*v* (also known as CIELUV) color space, CIE1976L*a*b* (also known as CIELAB ) color space. [0003] However, the color data output by the camera is RGB color space data. In applications involving color representation and color difference measurement, RGB color space has two fatal deficiencies: 1) RGB color space is a device-dependent color space; 2) RGB color space is a non-uniform color space. As a device-related color space, the RGB color data obtained...

AI Technical Summary

Problems solved by technology

In applications involving color representation and color difference measurement, the RGB color space has two fatal deficiencies: 1) RGB color space is a device-dependent color space; 2) RGB color space is a non-uniform color space

As a non-uniform color space, the color difference in the RGB color space is not only related to the Euclidean distance between the color coordinates, but also related to the specific position of the color coordinates, which brings a lot of inconvenience to the measurement of color difference

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