Temperature drift coefficient acquisition method, electronic equipment, storage medium and image correction method

Abstract

The embodiment of the invention relates to the field of image processing, and discloses a temperature drift coefficient acquisition method, electronic equipment, a storage medium and an image correction method. The temperature drift coefficient acquisition method comprises the following steps: acquiring a plurality of calibration plate images through a target camera, wherein the plurality of calibration plate images are acquired by shooting the same calibration plate at different temperatures by the target camera, and a pattern on the surface of the calibration plate is determined by a preset primary function; extracting key points in the calibration plate images; matching the key points of the calibration plate images at different temperatures, and determining homonymy points of the calibration plate images and a change function of displacement of the homonymy points along with the temperature; and obtaining the temperature drift coefficient of the target camera according to the preset primary function and the change function of the displacement along with the temperature. The method is applied to temperature calibration processes of various cameras, and the purpose of reducing or eliminating the influence of temperature on the cameras is achieved.

Description

technical field [0001] Embodiments of the present invention relate to the field of image processing, and in particular to a method for acquiring a temperature drift coefficient, electronic equipment, a storage medium, and an image correction method. Background technique [0002] Whether it is a personal mobile phone camera, a computer camera, an industrial camera, or a medical camera, it has been widely used in all aspects of life. For some application scenarios, such as robot systems in high and low temperature workshops and cameras for scientific research in Antarctica, the temperature will cause deviations in the acquired image data. At this time, the deviation of the image data needs to be corrected. However, at present, for different types of cameras such as ordinary cameras, structured light cameras, and depth cameras, the methods for obtaining temperature drift coefficients are different, and there is no uniform method for obtaining temperature drift coefficients for ...

AI Technical Summary

Problems solved by technology

However, for different types of cameras such as ordinary cameras, structured light cameras, and depth cameras, the methods for obtaining temperature drift coefficients are different, and there is no unified method for obtaining temperature drift coefficients for various types of cameras.

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