xcp_d.utils.qcmetrics.overlap

xcp_d.utils.qcmetrics.overlap(input1, input2)

Calculate overlap coefficient between two images.

The metric is defined as

\[DC=\frac{|A \cap B||}{min(|A|,|B|)}\]

, where \(A\) is the first and \(B\) the second set of samples (here: binary objects).

The overlap coefficient is also known as the Szymkiewicz-Simpson coefficient [1].

Parameters:

input1/input2 (numpy.ndarray) – Numpy arrays to compare. Can be any type but will be converted into binary: False where 0, True everywhere else.

Returns:

coef – Coverage between two images.

Return type:

float

References

[1]

MK Vijaymeena and K Kavitha. A survey on similarity measures in text mining. Machine Learning and Applications: An International Journal, 3(2):19–28, 2016. URL: https://doi.org/10.5121/mlaij.2016.3103, doi:10.5121/mlaij.2016.3103.