Accurate Color Matching Even Under Imperfect Conditions

Real Case Example #3

In real-world production, initial color formulations sometimes fail to match the target precisely.
This can happen due to several factors:

  • Poor quality or outdated database information

  • Changes in production conditions (e.g., different mill base, application method, or batch size)

  • Variations in pigment composition or manufacturing tools

Such factors often cause noticeable color deviations in the final result.
However, the MEC Color Matching Software can correct these inaccuracies effortlessly using its powerful formula adjustment tool.

Practical Example — RAL 6001 (Green)

In a color matching project for RAL 6001, the initial formulation showed a color difference (ΔE) of 2.2 from the target.
After just one correction with MEC, the difference dropped to ΔE = 0.46 (average under D65 and F11 light sources).

When the corrected color was evaluated under multiple light sources, the maximum ΔE was only 0.54,
which is an excellent result for a green shade — known to be particularly sensitive to metamerism.

Consistent Accuracy, Even in Error-Prone Scenarios

This example demonstrates that MEC not only delivers high-precision color matching under ideal conditions,
but also achieves outstanding accuracy even when the initial data or production parameters are imperfect.

With MEC, you can rely on consistent results, robust corrections, and stable color performance across all production environments.

Accurate Color Matching Even Under Imperfect Conditions

In real-world production, initial color formulations sometimes fail to match the target precisely.
This can happen due to several factors:

  • Poor quality or outdated database information

  • Changes in production conditions (e.g., different mill base, application method, or batch size)

  • Variations in pigment composition or manufacturing tools

Such factors often cause noticeable color deviations in the final result.
However, the MEC Color Matching Software can correct these inaccuracies effortlessly using its powerful formula adjustment tool.

Practical Example — RAL 6001 (Green)

In a color matching project for RAL 6001, the initial formulation showed a color difference (ΔE) of 2.2 from the target.
After just one correction with MEC, the difference dropped to ΔE = 0.46 (average under D65 and F11 light sources).

When the corrected color was evaluated under multiple light sources, the maximum ΔE was only 0.54,
which is an excellent result for a green shade — known to be particularly sensitive to metamerism.

Consistent Accuracy, Even in Error-Prone Scenarios

This example demonstrates that MEC not only delivers high-precision color matching under ideal conditions,
but also achieves outstanding accuracy even when the initial data or production parameters are imperfect.

With MEC, you can rely on consistent results, robust corrections, and stable color performance across all production environments.

Accurate Color Matching Even Under Imperfect Conditions

Real Case Example #3

In real-world production, initial color formulations sometimes fail to match the target precisely.
This can happen due to several factors:

  • Poor quality or outdated database information

  • Changes in production conditions (e.g., different mill base, application method, or batch size)

  • Variations in pigment composition or manufacturing tools

Such factors often cause noticeable color deviations in the final result.
However, the MEC Color Matching Software can correct these inaccuracies effortlessly using its powerful formula adjustment tool.

Practical Example — RAL 6001 (Green)

In a color matching project for RAL 6001, the initial formulation showed a color difference (ΔE) of 2.2 from the target.
After just one correction with MEC, the difference dropped to ΔE = 0.46 (average under D65 and F11 light sources).

When the corrected color was evaluated under multiple light sources, the maximum ΔE was only 0.54,
which is an excellent result for a green shade — known to be particularly sensitive to metamerism.

Consistent Accuracy, Even in Error-Prone Scenarios

This example demonstrates that MEC not only delivers high-precision color matching under ideal conditions,
but also achieves outstanding accuracy even when the initial data or production parameters are imperfect.

With MEC, you can rely on consistent results, robust corrections, and stable color performance across all production environments.

Accurate Color Matching Even Under Imperfect Conditions

In real-world production, initial color formulations sometimes fail to match the target precisely.
This can happen due to several factors:

  • Poor quality or outdated database information

  • Changes in production conditions (e.g., different mill base, application method, or batch size)

  • Variations in pigment composition or manufacturing tools

Such factors often cause noticeable color deviations in the final result.
However, the MEC Color Matching Software can correct these inaccuracies effortlessly using its powerful formula adjustment tool.

Practical Example — RAL 6001 (Green)

In a color matching project for RAL 6001, the initial formulation showed a color difference (ΔE) of 2.2 from the target.
After just one correction with MEC, the difference dropped to ΔE = 0.46 (average under D65 and F11 light sources).

When the corrected color was evaluated under multiple light sources, the maximum ΔE was only 0.54,
which is an excellent result for a green shade — known to be particularly sensitive to metamerism.

Consistent Accuracy, Even in Error-Prone Scenarios

This example demonstrates that MEC not only delivers high-precision color matching under ideal conditions,
but also achieves outstanding accuracy even when the initial data or production parameters are imperfect.

With MEC, you can rely on consistent results, robust corrections, and stable color performance across all production environments.

Color matching software