An image-based mapping luminosity distribution conversion method, device, medium and equipment

By using the mapping relationship between planar pixel coordinates and spherical angles, combined with image brightness correction and measured calibration factors, a light intensity distribution conforming to the IES standard is generated, solving the problems of high dependence on optical equipment and low testing efficiency in existing technologies, and realizing the rapid generation of light intensity distribution.

CN122415402APending Publication Date: 2026-07-17CHINA AUTOMOTIVE PARTS TECHNOLOGY (TIANJIN) CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA AUTOMOTIVE PARTS TECHNOLOGY (TIANJIN) CO LTD
Filing Date
2026-05-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to quickly generate light intensity distributions that conform to IES standards through image analysis, and existing solutions cannot achieve a collaborative technical path of image mapping, accurate brightness calculation, and physical restoration of light intensity, resulting in high dependence on optical equipment and low testing efficiency.

Method used

By using the mapping relationship between planar pixel coordinates and spherical angles, the pixel coordinates of each pixel in the target image are converted into spatial angular coordinates. The initial brightness is calculated and corrected, and the light intensity is calibrated by combining the measured calibration factor to generate the light intensity distribution result.

Benefits of technology

It enables the rapid generation of light intensity distributions that conform to IES standards while ensuring data accuracy, reducing reliance on professional optical equipment and improving testing efficiency.

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Abstract

本申请提供了一种基于图像映射光度分布转换方法、装置、介质及设备,将目标图像中各像素点的像素坐标转换为空间角度坐标;基于像素点的RGB值计算对应的初始亮度并校正;基于校正亮度和对应像素的空间角度坐标,计算目标图像中各像素点的初始光强并校准,得到校准光强;基于目标图像中所有像素点的校准光强,得到目标图像的光强分布结果;通过将目标图像中各像素点的像素坐标转换为空间角度坐标,根据RGB值计算初始亮度并校正,根据亮度和空间角度坐标计算初始光强,并采用校准因子对初始光强进行校准,以得到光强分布结果,从而可以兼顾空间分布与数据精度,在保证数据准确性的前提下快速实现图像的光度分布计算。
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