otsu

otsu

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
doc_scikit_image
2017-01-12 17:22:39
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