find white square 100 by 100 pixels in binary image in python

main.py
import cv2
import numpy as np

# Load the binary image
img = cv2.imread('binary_image.png', cv2.IMREAD_GRAYSCALE)

# Convert to binary image
_, binary = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)

# Define the kernel
kernel = np.ones((100, 100), np.uint8)

# Perform erosion and dilation to remove noise and find blobs
binary = cv2.erode(binary, kernel, iterations=1)
binary = cv2.dilate(binary, kernel, iterations=1)

# Find contours
contours, _ = cv2.findContours(binary, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)

# Look for the square contours
for c in contours:
    # Get the perimeter of the contour
    peri = cv2.arcLength(c, True)

    # Approximate the polygon with less vertices
    approx = cv2.approxPolyDP(c, 0.02 * peri, True)

    # If the contour is a square of size 100x100 pixels, draw a rectangle around it
    if len(approx) == 4 and cv2.contourArea(c) == 10000:
        x, y, w, h = cv2.boundingRect(c)
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)

# Save the output image
cv2.imwrite('output_image.png', img)
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