enhance_border.py

import prepare_img2
import skimage.io as io
import PIL
import numpy as np

import matplotlib.pyplot as plt
from skimage.color import rgb2gray
from skimage import data
from skimage.filters import gaussian
from skimage.segmentation import active_contour

from scipy.ndimage.filters import gaussian_filter

from skimage.draw import line

# Test scipy version, since active contour is only possible
# with recent scipy version
import scipy
scipy_version = list(map(int, scipy.__version__.split('.')))
new_scipy = scipy_version[0] > 0 or \
            (scipy_version[0] == 0 and scipy_version[1] >= 14)

#img = data.astronaut()
img = io.imread('border.bmp')

out = np.zeros([img.shape[0]*3,img.shape[1]*3], dtype=np.int)

#print(out)

for x in range(1,img.shape[0]-1):
    for y in range(1,img.shape[1]-1):
        out[x*3:(x+1)*3,y*3:(y+1)*3] = img[x-1:x+2,y-1:y+2]*0.5+img[x,y]*0.5
		
#out = gaussian_filter(out,1)
		
for x in range(0,out.shape[0]):
    for y in range(0,out.shape[1]):
        out[x,y] = int(np.rint(out[x,y]/255.0)*255)

io.imsave('border_processed.bmp',out)