Method for detecting light-resistant color fastness grade of furniture based on machine vision

Abstract

The invention relates to a method for detecting the light-resistant color fastness grade of furniture based on machine vision. The method comprises the steps of image acquisition, data transmission, preprocessing noise reduction, XYZ value calculation, similarity preliminary judgment, color space model color difference calculation, color fastness rating and result output. By adopting machine vision detection, standards can be unified, the influence of subjective factors such as individual difference, external environment and fatigue degree on manual naked eye detection is avoided, the detection grading result is more objective, and the accuracy is higher. The machine vision detection not only can evaluate the grade, but also can give a color space color difference value based on the CIE LAB standard and the CIE DE2000 standard, gives digitalization, standardization, visualization and materialization to the color difference in the light fastness rating, and is a standard and accurate detection grading method.

Description

technical field [0001] The invention belongs to the technical field of light color fastness detection of materials, and in particular relates to a method for detecting the light color fastness level of furniture based on machine vision. Background technique [0002] The light change and fading of wood surface color is one of the factors that cause the decline of its own material grade, and it is also an important factor that affects the value of wooden furniture products. [0003] At this stage, the method of grading the color fastness of wood to light is the xenon lamp irradiation method. The xenon lamp is used to expose the wood to accelerate its aging speed, and the contrast control of the discoloration degree between the blue wool standard sample and the gray sample card (in accordance with GB / T250-2008) is adopted. For the exposure cycle, the color difference value of the wood sample measured at each exposure stage is compared with the grade color difference value of th...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of high subjectivity and low reliability of naked eye detection, the present invention proposes a method for detecting the color fastness level of furniture based on machine vision, and uses machine vision sampling and digital image processing methods to replace manual visual detection for furniture light fastness. Fastness testing and rating

Images