Canny Edge Detection with OpenCV

This function uses the Canny edge detection algorithm from the OpenCV library to detect edges in an image. It first reads the image, converts it to a grayscale image, applies Gaussian blur to reduce noise, and finally detects edges using the Canny algorithm.

Technology Stack : OpenCV, NumPy

Code Type : Image processing

Code Difficulty : Intermediate

                
                    
def edge_detection(image_path, threshold=50):
    """
    Detects edges in an image using the Canny edge detection algorithm.
    """
    import cv2
    import numpy as np

    # Read the image
    image = cv2.imread(image_path)
    # Convert the image to grayscale
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    # Apply Gaussian blur to reduce noise
    blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)
    # Detect edges using Canny
    edges = cv2.Canny(blurred_image, threshold, threshold * 2)
    
    return edges

# JSON representation of the code