Spectrum light splitting color image color acquisition box and spectrum light splitting color image color detection method

Abstract

The invention discloses a spectrum light splitting color image color acquisition box and a spectrum light splitting color image color detection method. The acquisition box comprises a box body and a neutral diffusion inner container arranged in an outer box body, wherein the bottom of the neutral diffusion inner container is provided with a light source assembly; a carrying platform is arranged below the light source assembly; and the top of the box body is provided with a digital camera for acquiring a color image of a tested object. The acquisition box is characterized in that: the light source assembly is a multi-wave-section light source assembly. In the invention, an international standard light splitting illumination sampling measuring method is adopted for obtaining a spectral reflection factor and computing tristimulus values and chromaticity coordinates according to a colourometry formula, so that the problems of unavailability for measuring a multi-color image with the conventional instrument, curved surfaces or unevenness, color mixing, coloring uniformity or irregular object surface colors, metamerism and quantitative detection of fluorescence colors, and intelligent detection of non-contact spectrum light splitting image colors is realized.

Description

technical field [0001] The invention relates to a color collection box for spectral spectroscopic color images and a color detection method for spectral spectroscopic color images, belonging to the technical field of non-contact color detection. Background technique [0002] The surface color of an object is determined by the selectivity of the object's reflection, transmission, and absorption of light, the spectral power distribution of the illumination source, and the color vision characteristics of the observer. People can not only evaluate the color of objects from the absorption and reflection characteristics of the spectrum, but also understand other properties of objects from the particularity of absorption and reflection. Since substances have their own selective absorption and reflection characteristics of the spectrum, changing the spectral range of the incident light will make the object appear in various colors. This is also why metamerism exists, an important a...

AI Technical Summary

Problems solved by technology

Using the international standard spectroscopic lighting sampling measurement method, first obtain the spectral reflection factor, and then calculate the tristimulus value and chromaticity coordinates according to the chromaticity formula, to solve multi-color images, curved surfaces or unevenness, color that cannot be measured by existing instruments Mixed and unevenly colored or irregular object surface color and metamerism and fluorescent color quantification problems, to achieve non-contact spectral spectroscopic image color intelligent detection

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