红包：

Lena椒盐噪声图片：

# -*- 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()

运行结果截图：

以上这篇Python 实现中值滤波、均值滤波的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。