RGB Colour

RGB Colour records the basic colour information of the surface image as three separate channels: red (R), green (G) and blue (B).

Parameter description

RGB Colour describes the appearance of the surface in terms of its digital image colour values rather than in a colour‑space such as CIELab. Each pixel in the observer‑camera image has an R‑G‑B triplet; the reported RGB Colour values are the average red, green and blue channel intensities over the analysed area, giving a simple numerical description of surface shade and tone.

How is it measured?

  • The observer camera captures a colour‑corrected image of the surface using 45° circumferential illumination and 0° observation geometry.
  • Software averages the red, green and blue pixel values within the defined measurement area (for example 18 Ă— 9 mm), reporting three numbers: R, G and B. These values can be trended, compared between batches or exported for further colour analysis.

Interpretation of values

  • Higher R values indicate a stronger red component, higher G values a stronger green component, and higher B values a stronger blue component in the surface colour.
  • Changes in RGB channel balance over time or between samples indicate colour drift, contamination, ageing or process variation, even when gloss and texture remain constant.

Applications

  • Monitoring batch‑to‑batch colour consistency of coatings, plastics, inks and decorative films alongside gloss, haze and texture metrics.
  • Quickly flagging visible colour shifts on production lines or during development trials without needing a dedicated spectrophotometer, and documenting the appearance of standards, master panels and reference parts in quality systems.

Technical Specification

Item Specification / Value
Index names R, G, B
Description Average red, green and blue channel intensities from the surface image
Units 0–255 (8‑bit channel values) or normalised 0.0–1.0, depending on software configuration
Measurement geometry 45° circumferential illumination, 0° observation (observer camera)
Field of view (FOV) Dependent on module
Measurement principle Capture of a colour image, followed by spatial averaging of R, G and B pixel values over the region
Measurement range Full sensor range for each channel (typically 0–255)
Repeatability (typical) Within ±1–2 channel
Reproducibility (typical) Within ±3–5 channel counts after re‑positioning and re‑measurement
Primary use Tracking colour/shade changes and documenting appearance alongside gloss, haze and texture parameters