detect all lines in a black and white image in python

To detect all lines in a black and white image in Python, you can use the Hough Line Transform. Here's an example of how you can do it using OpenCV library:

main.py
import cv2

# Read the image in grayscale
image = cv2.imread('image.jpg', 0)

# Apply Canny edge detection to extract edges
edges = cv2.Canny(image, 50, 150)

# Apply Hough Line Transform
lines = cv2.HoughLines(edges, 1, np.pi/180, 200)

# Draw the detected lines on the image
if lines is not None:
    for rho, theta in lines[:, 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(image, (x1, y1), (x2, y2), (0, 0, 255), 2)

# Display the image with detected lines
cv2.imshow("Detected Lines", image)
cv2.waitKey(0)
cv2.destroyAllWindows()

742 chars
29 lines

In this code, we first convert the image to grayscale. Then we apply the Canny edge detection algorithm to extract the edges from the image. Finally, we apply the Hough Line Transform to detect lines in the edges image. The detected lines are drawn on the original image.

Adjust the parameters of the Canny edge detection and Hough Line Transform methods to suit your specific image and line detection requirements.

similar python code snippets

find longest 3 lines in edge image and highlight them in the original image in python
cv in python
find hough lines and highlight them in python
read an image and convert it to bgr color format in python
meander shaped matrix in numpy in python
create a person detector in python
compress jpg image in python
how to implement yolo in python
implement a machine learning model to generate images of cats in python
implement fastercnn in python

related categories

image-processing
computer-vision
python

gistlibby LogSnag