Image Edge Detection and Rotation

This function first loads an image from the given path, then detects edges in the image using the Canny edge detector. After that, it rotates the image by the specified angle and displays the original image side by side with the rotated image. Finally, the function returns the detected edges and the rotated image.

Technology Stack : numpy, scikit-image

Code Type : Image processing

Code Difficulty : Intermediate

                
                    
import numpy as np
from skimage import feature, io, transform

def find_edges_and_rotate_image(image_path, angle):
    # Load the image from the given path
    image = io.imread(image_path)
    
    # Detect edges in the image using the Canny edge detector
    edges = feature.canny(image)
    
    # Rotate the image using the specified angle
    rotated_image = transform.rotate(image, angle, resize=False)
    
    # Display the original image and the rotated image with edges
    io.imshow(np.hstack((image, rotated_image)))
    io.show()
    
    # Return the edges detected and the rotated image
    return edges, rotated_image