Applying Random Color Filter to an Image

This code defines a function that loads an image from the provided image path and applies a random color filter to it. It first defines a random color range in the HSV color space, then creates a mask to filter pixels within that color range, and finally performs a bitwise operation between the original image and the mask to apply the filter.

Technology Stack : OpenCV, NumPy

Code Type : Image processing

Code Difficulty : Intermediate

                
                    
import cv2
import numpy as np

def apply_random_color_filter(image_path):
    # Load the image
    image = cv2.imread(image_path)
    
    # Define a random color range from the HSV color space
    lower_color = np.random.randint(0, 180, size=(2,))
    upper_color = np.random.randint(180, 255, size=(2,))
    
    # Convert the image from BGR to HSV
    hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    
    # Create a mask for the color range
    mask = cv2.inRange(hsv_image, lower_color, upper_color)
    
    # Bitwise the original image and the mask
    result = cv2.bitwise_and(image, image, mask=mask)
    
    # Return the result
    return result