Created
April 16, 2020 10:39
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HoughLines in Python
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| import matplotlib.pyplot as plt | |
| import matplotlib.image as mpimg | |
| import numpy as np | |
| import cv2 | |
| image = mpimg.imread("test_images/ppnt.jpg") | |
| gray_image = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY) | |
| blurred_image = cv2.GaussianBlur(gray_image, (9, 9), 0) | |
| edges_image = cv2.Canny(blurred_image, 50, 120) | |
| rho_resolution = 1 | |
| theta_resolution = np.pi/180 | |
| threshold = 155 | |
| hough_lines = cv2.HoughLines(edges_image, rho_resolution , theta_resolution , threshold) | |
| hough_lines_image = np.zeros_like(image) | |
| draw_lines(hough_lines_image, hough_lines) | |
| original_image_with_hough_lines = weighted_img(hough_lines_image,image) | |
| plt.figure(figsize = (30,20)) | |
| plt.subplot(131) | |
| plt.imshow(image) | |
| plt.subplot(132) | |
| plt.imshow(edges_image, cmap='gray') | |
| plt.subplot(133) | |
| plt.imshow(original_image_with_hough_lines, cmap='gray') | |
| plt.show() |
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