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Jun 25, 2020

The Hough Transform - Python(OpenCV)


The Hough Transform is a popular technique to detect any shape, if
You can represent that shape In a mathematical form. It can detect the shape even if it is broken or distorted a little bit.
Cartesian coordinate system:  y = mx + b






import cv2
import numpy as np
#sudoku.png
img = cv2.imread('road4.jpg')
gray = cv2.cvtColor(img
, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray
, 50, 150, apertureSize=3)
cv2.imshow(
'edges', edges)
lines = cv2.HoughLinesP(edges
, 1, np.pi/180, 100, minLineLength=100, maxLineGap=10)
for line in lines:
    x1
, y1, x2, y2 = line[0]
    cv2.line(img
, (x1, y1), (x2, y2), (0, 255, 0), 2)

cv2.imshow(
'image', img)
k=cv2.waitKey(
0)
cv2.destroyAllWindows()

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