from PIL import Image
import numpy as np
from scipy import ndimage
import matplotlib.pyplot as plt
fname = "mazeflyer.png"

img = Image.open(fname).convert('L')
img = np.asarray(img)


blur_radius = 1
# smooth the image (to remove small objects)
imgf = ndimage.gaussian_filter(img, blur_radius)



threshold_low = 5
threshold_high = 250
img_low = imgf > threshold_low
img_high = imgf < threshold_high
img_to_use = img_high & img_low


labeled, nr_objects = ndimage.label(img_to_use)
nr_objects
plt.imsave('./out.png', labeled)



# thresholds for number of pixels
low = 6
high = 25
for i in range(np.max):
    amt = np.sum(labeled == i)
    if amt > low and amt < high:
        vals = np.where(labeled == 2)
        out = zip(*np.where(labeled==4))








nr_objects

img = Image.open(fname).convert('L')
img = np.asarray(img)
img = np.asarray(img)

labeled, nr_objects = ndimage.label(img)
nr_objects
37
plt.imsave('./out.png', labeled)