medpy.filter.image.otsu¶
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medpy.filter.image.
otsu
(img, bins=64)[source]¶ Otsu’s method to find the optimal threshold separating an image into fore- and background.
This rather expensive method iterates over a number of thresholds to separate the images histogram into two parts with a minimal intra-class variance.
An increase in the number of bins increases the algorithms specificity at the cost of slowing it down.
Parameters: img : array_like
The image for which to determine the threshold.
bins : integer
The number of histogram bins.
Returns: otsu : float
The otsu threshold to separate the input image into fore- and background.