Colorblind Safe Pair Checker (deuteranopia)

Compose existing Machado 2009 full-severity deuteranopiasimulation for both actual sRGBcolours, then screen an explicit caller encoded-space separation threshold. Euclidean distance is not perceptual uniformity, colourblind safety, legibility or accessibility certification.

Description

A deuteranopia simulation transforms two supplied sRGB colors before comparing their separation.

A deuteranopia simulation transforms two supplied sRGB colors before comparing their separation.1, 2

The result belongs to the simulation’s encoded RGB space and a threshold you choose.

When to use Colorblind Safe Pair Checker (deuteranopia)

Use this tool when you need to reproduce the stated calculation from measured records or independently selected model inputs. Establish the flag dimensions, orientation, specification, palette, or visual annotations needed for this particular calculation.

How to use Colorblind Safe Pair Checker (deuteranopia) and understand its results

  1. Establish the flag dimensions, orientation, specification, palette, or visual annotations needed for this particular calculation.
  2. Enter firstSrgb, secondSrgb, callerModelSpaceMinimumSeparation, following the field table and rules below, then run the tool.
  3. Read result. Use the output meanings below to interpret units, signs, flags, and any nested result fields.
  4. Correct reported input issues and run again. For a successful result, check the stated evidence coverage and assumptions before using it in your review.
Input fieldMeaningValue typeRequirement
firstSrgbFirst sRGBlist of numberRequired
secondSrgbSecond sRGBlist of numberRequired
callerModelSpaceMinimumSeparationCaller model space minimum separationnumberRequired

Enter two three-channel sRGB vectors from zero to one and a nonnegative separation threshold. Decode sRGB to linear channels, apply the full-severity Machado deuteranopia matrix, clip linear channels to [0,1], and re-encode to sRGB. Compute Euclidean distance between transformed vectors and include equality in the threshold screen. Return clipped channel indices for each color.3

distance=√Σ(simulatedA_channel−simulatedB_channel)²

Symbols follow the input and output meanings and the calculation rules above.

Output fieldMeaningValue type
resultCalculated observation or referenceobject
result.simulatedEncodedSrgbDistanceSimulated Encoded sRGB Distancenumber
result.meetsCallerModelThresholdMeets Caller Model Thresholdboolean
result.firstClippedChannelIndicesFirst Clipped Channel Indiceslist
result.secondClippedChannelIndicesSecond Clipped Channel Indiceslist
json
{
  "input": {
    "firstSrgb": [
      0,
      0,
      0
    ],
    "secondSrgb": [
      1,
      1,
      1
    ],
    "callerModelSpaceMinimumSeparation": 0.5
  },
  "output": {
    "result": {
      "simulatedEncodedSrgbDistance": 1.7320505537752844,
      "meetsCallerModelThreshold": true,
      "firstClippedChannelIndices": [],
      "secondClippedChannelIndices": [
        2
      ]
    }
  }
}

Limitations and assumptions

The calculation uses supplied geometry, observations, or annotations. It does not establish an official construction specification, national identity, or universal design quality.

Missing required fields, unknown fields, wrong types, and violated calculation rules are input issues. Numeric values must be finite; nonfinite results are rejected. Evidence arrays must be dense, with no missing cells. Numeric observation lists allow at most 10,000 entries, subject to any smaller bounds stated above. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related review, use Colorblind Safe Pair Checker (protanopia): A protanopia simulation transforms two supplied sRGB colors before comparing their separation. The result belongs to the simulation’s encoded RGB space and a threshold you choose. For a complementary step, use Lookalike Confusion Risk Scorer: Lookalike confusion is an observed response of a particular observer cohort to a flag pair. This tool reads your matched calibration at an in-range coordinate and retains the local response slope.

References

  1. Colorblind Safe Pair Checker (deuteranopia) — tool.io

  2. A physiologically-based model for simulation of color vision deficiency — Machado, Oliveira and Fernandes

  3. Deuteranopia Simulation Matrix — tool.io

Similar or alternative tools

  • Colorblind Safe Pair Checker (protanopia)

    A protanopia simulation transforms two supplied sRGB colors before comparing their separation. The result belongs to the simulation’s encoded RGB space and a threshold you choose.

  • Lookalike Confusion Risk Scorer

    Lookalike confusion is an observed response of a particular observer cohort to a flag pair. This tool reads your matched calibration at an in-range coordinate and retains the local response slope.

Don't forget to set a bookmark for tool.io!
Privacy | Imprint | Cookies