threshold

threshold

skimage.filters.rank.threshold(image, selem, out=None, mask=None, shift_x=False, shift_y=False) [source]

Local threshold of an image.

The resulting binary mask is True if the greyvalue of the center pixel is greater than the local mean.

Parameters:

image : 2-D array (uint8, uint16) Input image. selem : 2-D array The neighborhood expressed as a 2-D array of 1’s and 0’s. out : 2-D array (same dtype as input) If None, a new array is 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.

Examples

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>>> from skimage.morphology import square >>> from skimage.filters.rank import threshold >>> img = 255 * np.array([[0, 0, 0, 0, 0], ...                       [0, 1, 1, 1, 0], ...                       [0, 1, 1, 1, 0], ...                       [0, 1, 1, 1, 0], ...                       [0, 0, 0, 0, 0]], dtype=np.uint8) >>> threshold(img, square(3)) array([[0, 0, 0, 0, 0],        [0, 1, 1, 1, 0],        [0, 1, 0, 1, 0],        [0, 1, 1, 1, 0],        [0, 0, 0, 0, 0]], dtype=uint8)