Environment color temperature test method and system based on multispectral image detection technology

Abstract

The invention relates to an environmental color temperature test method and system based on a multispectral image detection technology, and the method comprises the steps: firstly obtaining images with uniform brightness and multispectral data of the 1-th, 2-th, 3-th... M-th color blocks in a standard color plate through employing a spectrum chip, and obtaining N groups of multispectral data matrixes for each color block; performing time and space noise reduction processing on the N groups of multispectral data matrixes to finally obtain n multispectral data, and sequentially determining standard multispectral data xst (n, ICCT) of the mth color block under the 1-th, 2-th, 3-th,... I-th color temperature value according to the method; then acquiring multispectral data xet (n) of a plurality of specific color regions in a scene picture by using a mobile phone or a camera containing the color temperature test system; averaging the multispectral data of the same wave band, performing standard variance calculation on the ambient light multispectral data and standard multispectral data xst (n, ICCT) by using a color temperature matching module, and taking the color temperature value with the minimum variance as the ambient light color temperature value. The method realizes rapid, accurate and efficient detection of color temperature.

Description

technical field [0001] The invention relates to the technical field of spectrum identification and the technical fields of video monitoring and mobile terminals, in particular to an environmental color temperature testing method and system based on multi-spectral image detection technology. Background technique [0002] Different light sources have different spectral components and distributions, which are called color temperature in chromatics. Affected by the color temperature of the environment, the pictures taken by the image sensor often have a color cast. In addition to the color cast of the picture, the light also causes the image to be oversaturated or undersaturated, which seriously distorts the color of the picture. At present, people use white balance adjustment technology to deduct or supplement the influence of ambient light to eliminate this color cast, but the existing adjustment technologies are all concentrated on the white balance algorithm, for example: [...

AI Technical Summary

Problems solved by technology

However, this technology uses a single-point sensor to sum and average all optical signals. When the color temperature of the incident light source is different in different directions or positions, it cannot be effectively distinguished, so the environmental applicability is insufficient and the accuracy is low.

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