first-program.py

# import smilPython module
import smilPython as sp
 
# define which structuring element to use
se = sp.SquSE()
 
# get your first image
# try replacing the URL by some image stored in your computer.
imIn = sp.Image("https://smil.cmm.minesparis.psl.eu/images/lena.png")
imIn.show("Lena original")
 
# declare two images for results
imA = sp.Image(imIn)
imA.show("erode")
 
imB = sp.Image(imIn)
imB.show("dilate")
 
# erosion and dilation
r = sp.erode(imIn,  imA, se())
r = sp.dilate(imIn, imB, se())
 
input("Hit enter to continue")
 
# now let's do some filtering with a SE of size 2
r = sp.open(imIn, imA, se(2))
imA.setName("open")
r = sp.close(imIn, imB, se(2))
imB.setName("close")
 
input("Hit enter to continue")