run length smoothing algorithm - on binary image

gistfile1.py

X = [0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,1,0,1,1,1,1,0,0,0,1,1,1,0,0,0,0,1]

def run_length_smoothing(X, run_length_width):
    block = []
    for index, intensity in enumerate(X):  
   

    if intensity == 1 and len(block) <= run_length_width:
            for j in block:
                X[j] = 1
            block = []
        elif intensity == 1 and len(block) > run_length_width:
            block = []
        elif intensity == 0:
            block.append(index)
    
    return X

print(run_length_smoothing(X,3))

#show image 
binary_c = np.copy(binary)
for ri in range(binary_c.shape[0]):
    binary_c[ri,:] = run_length_smoothing(binary_c[ri,:], 10)
    
plt.figure(figsize=(20,20))
plt.imshow(binary_c, cmap="gray")
plt.show()