小编给大家分享一下Python怎么实现中值滤波、均值滤波,相信大部分人都还不怎么了解,因此分享这篇文章给大家参考一下,希望大家阅读完这篇文章后大有收获,下面让我们一起去了解一下吧!
python常用的库:1.requesuts;2.scrapy;3.pillow;4.twisted;5.numpy;6.matplotlib;7.pygama;8.ipyhton等。
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:
以上是“Python怎么实现中值滤波、均值滤波”这篇文章的所有内容,感谢各位的阅读!相信大家都有了一定的了解,希望分享的内容对大家有所帮助,如果还想学习更多知识,欢迎关注亿速云行业资讯频道!
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