Python 实现中值滤波、均值滤波的方法

# -*- coding: utf-8 -*-
"""
Created on Sat Oct 14 22:16:47 2017

@author: Don
"""

from tkinter import *
from skimage import io
import numpy as np


im=io.imread('lena_sp.jpg', as_grey=True)
im_copy_med = io.imread('lena_sp.jpg', as_grey=True)
im_copy_mea = io.imread('lena_sp.jpg', as_grey=True)
#io.imshow(im)
for i in range(0,im.shape[0]):
 for j in range(0,im.shape[1]):
  im_copy_med[i][j]=im[i][j]
  im_copy_mea[i][j]=im[i][j]
#ui
root = Tk()
root.title("lena")
root.geometry('300x200')

medL = Label(root, text="中值滤波：")
medL.pack()
med_text = StringVar()
med = Entry(root, textvariable = med_text)
med_text.set("")
med.pack()

meaL = Label(root, text="均值滤波：")
meaL.pack()
mea_text = StringVar()
mea = Entry(root, textvariable = mea_text)
mea_text.set("")
mea.pack()

def m_filter(x, y, step):
 sum_s=[]
 for k in range(-int(step/2),int(step/2)+1):
  for m in range(-int(step/2),int(step/2)+1):
   sum_s.append(im[x+k][y+m])
 sum_s.sort()
 return sum_s[(int(step*step/2)+1)]

def mean_filter(x, y, step):
 sum_s = 0
 for k in range(-int(step/2),int(step/2)+1):
  for m in range(-int(step/2),int(step/2)+1):
   sum_s += im[x+k][y+m] / (step*step)
 return sum_s

def on_click():
 if(med_text):
  medStep = int(med_text.get())
  for i in range(int(medStep/2),im.shape[0]-int(medStep/2)):
   for j in range(int(medStep/2),im.shape[1]-int(medStep/2)):
    im_copy_med[i][j] = m_filter(i, j, medStep)
 if(mea_text):
  meaStep = int(mea_text.get())
  for i in range(int(meaStep/2),im.shape[0]-int(meaStep/2)):
   for j in range(int(meaStep/2),im.shape[1]-int(meaStep/2)):
    im_copy_mea[i][j] = mean_filter(i, j, meaStep)
 io.imshow(im_copy_med)
 io.imsave(str(medStep) + 'med.jpg', im_copy_med)
 io.imshow(im_copy_mea)
 io.imsave(str(meaStep) + 'mea.jpg', im_copy_mea)

Button(root, text="filterGo", command = on_click).pack()

root.mainloop()