generate_image_py.txt

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


def create_16bit_gradient_image(width, height):
    image = np.zeros((height, width), dtype=np.uint16)
    for y in range(height):
        for x in range(width):
            intensity = 65535 #int((y/height) * 65535)
            
            if (y % 5 == 0) or (y == (height-1) or (y==0)):
                image[y, x] = intensity

            image[x, x] = intensity
            image[(x+50)%width, x] = intensity

            if (x % 5 == 0) or (x == (width-1)) or (x==0):
                image[y, x] = intensity

            if y % 5 == 0:
                image[y,x] = intensity

            if (y-x) % 99 == 0:
                image[np.abs(y - 99), x] = intensity
                
            
                
    return image

def save_image(image, filename, title):
    plt.imshow(image, cmap='gray', vmin=0, vmax=65535)
    plt.title(title)
    plt.axis('off')
    plt.show()

    # Save the image as np.uint16
    cv2.imwrite(filename, image.astype(np.uint16))

# Create a 16-bit gradient image
width, height = 150, 150
gradient_image_16bit = create_16bit_gradient_image(width, height)
gradient_image_16bit = np.array(gradient_image_16bit)
# Display the image
save_image(gradient_image_16bit, "img1.tiff", title="original image")