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bundles / skimage 0.26.1rc0.dev0+git20260530.b607368ff / skimage / transform / hough_transform / hough_circle

function

skimage.transform.hough_transform:hough_circle

source: /dev/scikit-image/src/skimage/transform/hough_transform.py :81

Signature

def   hough_circle ( image ,  radius ,  normalize = True ,  full_output = False )

Summary

Perform a circular Hough transform.

Parameters

image : ndarray, shape (M, N)

Input image with nonzero values representing edges.

radius : scalar or sequence of scalars

Radii at which to compute the Hough transform. Floats are converted to integers.

normalize : bool, optional

Normalize the accumulator with the number of pixels used to draw the radius.

full_output : bool, optional

Extend the output size by twice the largest radius in order to detect centers outside the input picture.

Returns

H : ndarray, shape (radius index, M + 2R, N + 2R)

Hough transform accumulator for each radius. R designates the larger radius if full_output is True. Otherwise, R = 0.

Examples

from skimage.transform import hough_circle
from skimage.draw import circle_perimeter
img = np.zeros((100, 100), dtype=bool)
rr, cc = circle_perimeter(25, 35, 23)
img[rr, cc] = 1
try_radii = np.arange(5, 50)
res = hough_circle(img, try_radii)
ridx, r, c = np.unravel_index(np.argmax(res), res.shape)
✓
r, c, try_radii[ridx]
✗

Aliases

  • skimage.transform.hough_circle

Referenced by

This package