Uniformness Algorithm (experimental)

About Algorithm

  1. This Algorithm estimates the visible skin texture non-uniformness, such as eruptions, age spots, freckles, and blood vessels close to the surface, along with texture-associated skin features.

  2. This Algorithm estimates indicated skin health parameters on: forehead, right cheek, left cheek areas.

  3. The Main Metric for this Algorithm is the Uniformness Score, with a range from 0 to 100.

    1. Values from 80 to 100 are considered a relatively good skin condition with relatively uniform texture skin.

    2. Values from 50 to 70 are considered as skin with visible skin texture non-uniformness.

    3. Values below 50 are considered as an alerting skin condition, that might require specialist attention.

    4. Uniformness Score is a non-linear transformation of a spatial information about non-uniform skin texture clusters.

  4. There are no Submetrics for this Algorithm.


Algorithm API

See Uniformness Result Scheme.


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