code that finds the edges of a white object in a binary image and uses the houghlines to plot the boundary on the colour image in python

main.py
import cv2
import numpy as np

# Read input images
binary_image = cv2.imread('binary_image.png', cv2.IMREAD_GRAYSCALE)
color_image = cv2.imread('color_image.jpg')

# Apply Canny edge detection to binary image
edges = cv2.Canny(binary_image, 100, 200)

# Apply HoughLine transform to edges
lines = cv2.HoughLines(edges, 1, np.pi/180, 200)

# Draw lines on color image
if lines is not None:
    for line in lines:
        rho, theta = line[0]
        a = np.cos(theta)
        b = np.sin(theta)
        x0 = a*rho
        y0 = b*rho
        x1 = int(x0 + 1000*(-b))
        y1 = int(y0 + 1000*(a))
        x2 = int(x0 - 1000*(-b))
        y2 = int(y0 - 1000*(a))
        cv2.line(color_image, (x1,y1), (x2,y2), (0,255,0), 2)

# Show output image
cv2.imshow('Output Image', color_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
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