otsu
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skimage.filters.rank.otsu(image, selem, out=None, mask=None, shift_x=False, shift_y=False)
[source] -
Local Otsu’s threshold value for each pixel.
Parameters: image : ndarray
Image array (uint8 array).
selem : 2-D array
The neighborhood expressed as a 2-D array of 1’s and 0’s.
out : ndarray
If None, a new array will be allocated.
mask : ndarray
Mask array that defines (>0) area of the image included in the local neighborhood. If None, the complete image is used (default).
shift_x, shift_y : int
Offset added to the structuring element center point. Shift is bounded to the structuring element sizes (center must be inside the given structuring element).
Returns: out : 2-D array (same dtype as input image)
Output image.
References
[R218] http://en.wikipedia.org/wiki/Otsu’s_method Examples
>>> from skimage import data >>> from skimage.filters.rank import otsu >>> from skimage.morphology import disk >>> img = data.camera() >>> local_otsu = otsu(img, disk(5)) >>> thresh_image = img >= local_otsu
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