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where $I_{max}$ and $I_{min}$ are the maximum and minimum intensities of the gray scaled image.
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In ML cube Platform we use a more slightly different version of this formula where instead of the minimum and maximum, 10-th and 90-th percentiles are used.
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-**Histogram Spread:** is the ration between the quartile distance to the range of the histogram and the range of intensities.
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-**Histogram Spread:** is the ratio between the quartile distance to the range of the histogram and the range of intensities.
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The third and first quartiles are the histogram bins at which the cumulative histogram has 75% and 25% of maximum value:
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$$
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\frac{q_3 -q_1}{I_{max} + I_{min}}
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$$
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-**Histogram Flatness:** is the ration of the geometric mean to the arithmetic mean of the histogram counts:
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-**Histogram Flatness:** is the ratio of the geometric mean to the arithmetic mean of the histogram counts:
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