Python 实现中值滤波、均值滤波的方法
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软件开发网。
您可能感兴趣的文章:Python实现中值滤波去噪方式使用Python-OpenCV向图片添加噪声的实现(高斯噪声、椒盐噪声)opencv python 图像去噪的实现方法python 中值滤波,椒盐去噪,图片增强实例
