Harris Corner detector

The Harris corner filter [1] detects “interest points” [2] using edge detection in multiple directions.

[1]	http://en.wikipedia.org/wiki/Corner_detection

[2]	http://en.wikipedia.org/wiki/Interest_point_detection

import numpy as np
from matplotlib import pyplot as plt

from skimage import data, img_as_float
from skimage.feature import harris


def plot_harris_points(image, filtered_coords):
    """ plots corners found in image"""

    plt.imshow(image)
    y, x = np.transpose(filtered_coords)
    plt.plot(x, y, 'b.')
    plt.axis('off')

# display results
plt.figure(figsize=(8, 3))
im_lena = img_as_float(data.lena())
im_text = img_as_float(data.text())

filtered_coords = harris(im_lena, min_distance=4)

plt.axes([0, 0, 0.3, 0.95])
plot_harris_points(im_lena, filtered_coords)

filtered_coords = harris(im_text, min_distance=4)

plt.axes([0.2, 0, 0.77, 1])
plot_harris_points(im_text, filtered_coords)

plt.show()

Python source code: download (generated using mpltools 0.6dev)