Python 实现中值滤波、均值滤波的方法_Python

Python 实现中值滤波、均值滤波的方法

2021-05-13 00:40bllddee Python

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Python 实现中值滤波、均值滤波的方法

lena椒盐噪声图片：

Python 实现中值滤波、均值滤波的方法

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									# -*- 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()