Color measurement is a precise science requiring an objective, practical, and effective approach. Accurate data and consistency improve customer satisfaction and product quality across industries ranging from food to plastics. When you know the most common mistakes made in taking accurate measurements, you can proactively prevent or avoid them and capture data you can have confidence in.

1. Relying on Subjective Descriptions and Visual Assessment

People perceive color differently, so subjective descriptions like “navy blue” can't accurately quantify it. In contrast, measuring according to the CIELAB color scale might give you a value of L*= 15, a*= -6, b*= -25, so you'll have an exact number to compare. 

Visual assessment leads to color measurement problems due to a lack of optical memory and physiological dysfunctions that influence perception. Even trained eyes with superior detection ability can become fatigued, compromising accuracy. 

2. Not Using a Software Program

A software solution simplifies measurement collection and comparison, making it a powerful tool for enhancing spectral data analysis.

3. Not Considering Environmental Factors

Metamerism describes the phenomenon where two colors match under one light but not another, which creates issues with color consistency. A spectrophotometer, which contains a standard light source, combats this phenomenon. Other environmental factors that can influence color include temperature and humidity, which alter the way a material interacts with the wavelengths. Controlling these within your facility can help promote more accurate measurements.

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4. Choosing the Wrong Tolerances or Color Scales

A color tolerance standard recognizes discrepancies in visual perception according to a Delta-E (dE) value. The most effective tolerance method is the elliptical method, where tolerances are centered around a target in an elliptical shape with the longest dimension along the L* axis.

Those analyzing colors also adopt different scales, such as Gardner, APHA/Pt-Co/Hazen, CIELAB, or Hunter L, a ,b. Choose according to the industry and sample type for the most effective results. 

5. Misusing Solutions

Different spectrophotometer models include features suited for specific samples, which vary widely in opacity, texture, size, and other physical properties. Ensure you're using the right type for your application. Also, prepare samples properly to reduce color control mistakes. Samples must have standard thickness and backing materials, among other factors. Before operating a spectrophotometer, verify proper standardization to avoid measurement errors.

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6. Failing to Communicate Data Effectively

Different teams employ varying language to describe color. A scientist may use CIE L*a*b*, while a designer may speak according to CIE L*C*h* (lightness, chroma, and hue). When discussing and sharing measurement results, use a common language to prevent misunderstandings.

Overcome Issues Measuring Color With HunterLab

We have developed innovative, intelligent solutions for capturing color and spectral data for over 70 years. Our extensive expertise enables us to help you overcome common color measurement mistakes and find the right solutions for your application. Contact us online for expert support or buying advice.