二值化与高斯模糊化

1.高斯模糊化

# -*- coding: utf-8 -*-
"""
Created on Wed Dec  5 14:57:40 2018

@author: 1
"""


#import numpy as np
import cv2
#import matplotlib.pyplot as plt

img = cv2.imread('WIN_20190110_16_56_25_Pro.jpg')
img_ = cv2.GaussianBlur(img, ksize=(29,29), sigmaX=0, sigmaY=0)


cv2.imshow('Source image',img)
cv2.imshow('blur image',img_)



cv2.waitKey()

2.二值化

# -*- coding: utf-8 -*-
"""
Created on Wed Nov 21 14:52:55 2018

@author: 1
"""


import cv2 
import matplotlib.pyplot as plt
 
img = cv2.imread('YCbCr.jpg',0) #直接读为灰度图像
#简单滤波
ret1,th1 = cv2.threshold(img,10,255,cv2.THRESH_BINARY)

#Otsu 滤波
ret2,th2 = cv2.threshold(img,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
th3 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,11,2)
ret, dst = cv2.threshold(img, 127, 255,  cv2.THRESH_BINARY)

cv2.imshow("ss",th1)
##cv2.imwrite("aaa.jpg", th3)
cv2.imwrite("Binary_5.jpg",th1)
#print(ret2)
#plt.figure()
#plt.subplot(221),plt.imshow(img,'gray')
#plt.subplot(222),plt.hist(img.ravel(),256)#.ravel方法将矩阵转化为一维
#plt.subplot(223),plt.imshow(th1,'gray')
#plt.subplot(224),plt.imshow(th3,'gray')

#img=cv2.imread('1111.jpg')
#cv2.imshow("1111.jpg",img)