apply_hysteresis_threshold(image, low, high)

This algorithm finds regions where image is greater than high OR image is greater than low and that region is connected to a region greater than high .

Parameters

image : array, shape (M,[ N, ..., P])

Grayscale input image.

low : float, or array of same shape as ``image``

Lower threshold.

high : float, or array of same shape as ``image``

Higher threshold.

Returns

thresholded : array of bool, same shape as ``image``

Array in which True indicates the locations where image was above the hysteresis threshold.

Apply hysteresis thresholding to image .

Examples

This example is valid syntax, but we were not able to check execution

>>> image = np.array([1, 2, 3, 2, 1, 2, 1, 3, 2])
... apply_hysteresis_threshold(image, 1.5, 2.5).astype(int)
array([0, 1, 1, 1, 0, 0, 0, 1, 1])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.feature._hog.hog skimage.filters.thresholding.apply_hysteresis_threshold

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File: /skimage/filters/thresholding.py#1041
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