Automatic identification method for temperature-change color of chameleon paint

Abstract

The invention discloses an automatic identification method for temperature-change colors of chameleon paint. The automatic identification method is characterized by comprising the steps: a digital camera shoots an image to be subjected to partial analysis, and each pixel in the image is analyzed by a computer, wherein the pixels reflect the color temperature properties of the chameleon paint by referring to a chameleon paint sheet of a standard sample template; the color properties of the chameleon paint are represented by curves L(t), A(t) and B(t) in a color space; color differences are obtained by using the formulas as follows: deltaL<*>=L<*>-L<*>t, delta<*>=a<*>-a<*>t, and deltab<*>=b<*>-b<*>t, wherein L*, a* and b* are standard template values , and L<*>t, a<*>t and b<8>t are target color values; in the color space L<*>a<*>b<*>, the total color difference deltaE<*>AB(t) between two points is obtained by using the formula shown in the specification, and temperature values Tm corresponding to the minimum value and the maximum value of deltaE<*>AB(t) are obtained. The automatic identification method disclosed by the invention has the advantages that the measurement error of the chameleon paint is ensured to be smaller than or equal to + / -10 DEG C, the measurement standard degree of the chameleon paint is increased and the working efficiency is increased.

Description

technical field [0001] The invention relates to the field of surface temperature measurement of high-temperature components measured by temperature-indicating paint, and in particular provides an automatic identification method for temperature-changing color of temperature-indicating paint. Background technique [0002] The temperature-changing color of the temperature-indicating paint adopts the manual identification method: the staff compares the color of the parts with the color of the sample temperature-indicating paint sheet, and then makes a judgment on the temperature distribution of the parts. This method is easily affected by ambient light and personal color discrimination, is highly subjective, has limited accuracy, and brings certain difficulties to quantitative analysis. At the same time, it takes a long time to interpret and visual fatigue is easy. Contents of the invention [0003] The object of the present invention is to accurately identify the temperature-...

AI Technical Summary

Problems solved by technology

This method is easily affected by ambient light and personal color discrimination, which is highly subjective and has limited accuracy. It also brings certain difficulties to quantitative analysis. At the same time, the interpretation time is long and visual fatigue is easy.

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