tresholding.py

import cv2
import numpy as np
import matplotlib.pyplot as plt

# Function to display images
def display_image(title, image):
    plt.imshow(image, cmap='gray')
    plt.title(title)
    plt.axis('off')
    plt.show()

# Load Image
image = cv2.imread("image.jpg", cv2.IMREAD_GRAYSCALE)

if image is None:
    print("Error: Image not found!")
    exit()

# ----- Brightness Improvement -----
brightness_improved = cv2.add(image, 50)
display_image("Brightness Improved", brightness_improved)

# ----- Brightness Reduction -----
brightness_reduced = cv2.subtract(image, 50)
display_image("Brightness Reduced", brightness_reduced)

# ----- Thresholding -----
_, thresholded = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)
display_image("Thresholded Image", thresholded)

# ----- Negative Image -----
negative = 255 - image
display_image("Negative of Image", negative)

# ----- Log Transformation -----
c_log = 255 / np.log(1 + np.max(image))
log_transformed = c_log * np.log(1 + image.astype(np.float64))
log_transformed = np.array(log_transformed, dtype=np.uint8)
display_image("Log Transformation", log_transformed)

# ----- Power Law (Gamma) Transformation -----
gamma = 1.5
power_law = np.array(255 * (image / 255) ** gamma, dtype=np.uint8)
display_image("Power Law Transformation (Gamma)", power_law)

# Final show (optional)
plt.show()