This function fills the holes in binary objects. The following code block demonstrates the application of the function with different structuring element sizes on an input binary image:
from scipy.ndimage.morphology import binary_fill_holesim = rgb2gray(imread('../images/text1.png'))im[im <= 0.5] = 0im[im > 0.5] = 1pylab.figure(figsize=(20,15))pylab.subplot(221), pylab.imshow(im), pylab.title('original', size=20),pylab.axis('off')i = 2for n in [3,5,7]: pylab.subplot(2, 2, i) im1 = binary_fill_holes(im, structure=np.ones((n,n))) pylab.imshow(im1), pylab.title('binary_fill_holes with structure square side ' + str(n), size=20) pylab.axis('off') i += 1pylab.show()
The following screenshot shows the output of the ...
