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Skin Photo Crosslighting Angle Label Tool

Preserve explicit skin-photo lighting-angle metadata and its reference axis without estimating image quality.

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Description

Preserve explicit skin-photo lighting-angle metadata and its reference axis.

Dermatology records distinguish specimen sites, image permissions, orientation, scale references, area models and observation states. Full ellipse axes differ from radii, and rectangular area estimates need not match a lesion or wound. Supplied labels and scalar image measurements do not establish clinical findings or appropriate care.

Preserve explicit skin-photo lighting-angle metadata and its reference axis.

When to use this tool

Use Skin Photo Crosslighting Angle Label when you already have imageId, suppliedAngleText, referenceAxis and need to preserve explicit skin-photo lighting-angle metadata and its reference axis.

How to use the tool and how it works

  1. Enter imageId, suppliedAngleText, referenceAxis. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read token. Use the output convention below.

Enter imageId, suppliedAngleText, referenceAxis using the field constraints below. Encode these values, in exactly that order, as a JSON array and return the serialized array as text in token. String values are preserved without trimming or external terminology lookup.1

Input fieldMeaning and unitsAccepted input
imageIdImage IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
suppliedAngleTextSupplied Angle TextRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
referenceAxisReference AxisRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
Output fieldInterpretationReturned shape
tokenTokenRequired. Text; maximum UTF-16 length 8192.
json
{
  "input": {
    "imageId": "I17",
    "suppliedAngleText": "45 deg",
    "referenceAxis": "camera axis"
  },
  "output": {
    "token": "[\"I17\",\"45 deg\",\"camera axis\"]"
  }
}

Limitations and assumptions

  • The result records supplied values without estimating image quality. Sources and asserted relationships are not independently authenticated.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.

Alternative or Complementary methods

Review the original clinical, specimen and image records with verified calibration and consent context. Use the complete appropriate assessment for interpretation; local geometry, display labels and reporting conventions do not identify a lesion, diagnose disease or choose treatment.

References

  1. Calculation and input contract: dermatology/skin-photo-crosslighting-angle-label — tool.io

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