Binary Thresholding Image Processing Function

This function reads an image from the specified path, converts it to grayscale, and then applies a binary thresholding operation to the image, setting pixels below lower_threshold and above upper_threshold to 0, and the rest to 255.

Technology Stack : OpenCV, NumPy

Code Type : Image processing

Code Difficulty : Intermediate

                
                    
import cv2
import numpy as np

def threshold_image(image_path, lower_threshold, upper_threshold):
    # Read the image from the given path
    image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
    
    # Apply thresholding to the image
    _, thresholded_image = cv2.threshold(image, lower_threshold, upper_threshold, cv2.THRESH_BINARY)
    
    return thresholded_image