From 0451a2e17b775183e8a547c2a1125d20d45c0331 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fran=C3=A7ois=20Boulogne?= Date: Sun, 24 Feb 2013 16:27:40 +0100 Subject: [PATCH] use draw instead of mpl patches --- doc/examples/plot_circular_hough_transform.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/examples/plot_circular_hough_transform.py b/doc/examples/plot_circular_hough_transform.py index cc4ea664..f7490051 100755 --- a/doc/examples/plot_circular_hough_transform.py +++ b/doc/examples/plot_circular_hough_transform.py @@ -38,13 +38,13 @@ import matplotlib.patches as mpatches from skimage import data, filter from skimage.transform import hough_circle from skimage.feature import peak_local_max +from skimage.draw import circle_perimeter # Load picture and detect edges image = data.coins()[0:95, 70:370] edges = filter.canny(image, sigma=3, low_threshold=10, high_threshold=50) fig, ax = plt.subplots(ncols=1, nrows=1, figsize=(6, 6)) -ax.imshow(image, cmap=plt.cm.gray) # Detect two radii hough_radii = np.arange(15, 30, 2) @@ -65,8 +65,8 @@ for radius, h in zip(hough_radii, hough_res): for idx in np.argsort(accums)[::-1][:5]: center_x, center_y = centers[idx] radius = radii[idx] - circ = mpatches.Circle((center_y, center_x), radius, - fill=False, edgecolor='red', linewidth=2) - ax.add_patch(circ) + cx, cy = circle_perimeter(center_y, center_x, radius) + image[cy, cx] = 0 +ax.imshow(image, cmap=plt.cm.gray) plt.show()