• python-opencv的用法

    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2

# 接收两个参数，一个是文件名，一个值，如果值为1，接收的是彩色图片，如果值为零，接受的是灰度图片。会有一个返回值，表示返回的图片内容
img = cv2.imread('mashiro.jpg',1)

# 接收两个参数，一个是窗体名称，另一个是要显示的内容
cv2.imshow('mashiro',img)

# 将程序暂停，只有这样，才能看到图片,否则图片会一闪而过因为程序结束了，如果time.sleep()的话，会卡住
cv2.waitKey(0)
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    2. 图片写入

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
img = cv2.imread('mashiro.jpg',1)
cv2.imwrite('mashiro1.jpg',img)
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     3.不同图片质量保存

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
img = cv2.imread('mashiro.jpg',1)
cv2.imwrite('mashiro1.jpg',img,[cv2.IMWRITE_JPEG_QUALITY,0])
cv2.imwrite('mashiro2.png',img,[cv2.IMWRITE_PNG_COMPRESSION,0])

# jpg属于有损压缩，是以图片的清晰度为代价的，数字越小，压缩比越高，图片质量损失越严重
# png属于无损压缩，数字0-9，数字越低，压缩比越低
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     4.像素操作基础

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2

img = cv2.imread('mashiro.jpg',1)
(a,b,c) = img[500,500]
print(a,b,c)

for i in range(1,100):
    img[i,i] = (255,0,0)

cv2.imshow('mashiro',img)
cv2.waitKey(0)
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    5.图片缩放

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2

img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)
imginfo = img.shape
height = imginfo[0]
width = imginfo[1]
mode = imginfo[2]
print(imginfo)
dstHeight = int(height*0.5)
dstWidth = int(width*0.5)

dst = cv2.resize(img,(dstWidth,dstHeight))
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    6.图片缩放（源码实现）

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape

height = imgInfo[0]
width = imgInfo[1]

dstHeight = int(height/2)
dstWidth = int(width/2)

dstImage = np.zeros((dstHeight,dstWidth,3),np.uint8)


for i in range(0,dstHeight):
    for j in range(0,dstWidth):
        iNew = int(i*(height*1.0/dstHeight))
        jNew = int(j*(width*1.0/dstWidth))
        dstImage[i,j] = img[iNew,jNew]

cv2.imshow('mashiro',dstImage)
cv2.waitKey(0)
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    7.图片剪切

     

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
dst = img[10:600,10:400]
cv2.imshow('mashiro',dst)
cv2.waitKey(0)
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    8.图片移位

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2,numpy as np
img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)


imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]

matshift = np.float32([[1,0,100],[0,1,200]])
dst = cv2.warpAffine(img,matshift,(height,width))
cv2.imshow('mashiro1',dst)

cv2.waitKey(0)
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    9.图片移位（源码实现）

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
cv2.imshow('mashiro',img)
dst = np.ones(imgInfo,np.uint8)

height = imgInfo[0]
width = imgInfo[1]

for i in range(0,height):
    for j in range(0,width-300):
        dst[i,j] = img[i,j]
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    10.图片镜像

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
cv2.imshow('mashiro',img)
dst = np.ones(imgInfo,np.uint8)
height = imgInfo[0]
width = imgInfo[1]
for i in range(0,height):
    for j in range(0,width):
        dst[i,j] = img[height-1-i,j]

cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    11.图片仿射变换

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)

imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
matSrc = np.float32([[0,0],[0,height-1],[width-1,0]])
matDst = np.float32([[50,50],[300,height-200],[width-300,100]])

matAffine = cv2.getAffineTransform(matSrc,matDst)
dst = cv2.warpAffine(img,matAffine,(width,height))
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    12.图片旋转

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
cv2.imshow('mashiro',img)
height = imgInfo[0]
width = imgInfo[1]

matRotate = cv2.getRotationMatrix2D((width*0.5,height*0.5),45,0.5)
dst = cv2.warpAffine(img,matRotate,(width,height))
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    13.闲的蛋疼（批量将图片进行上述操作）

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import glob
import numpy as np

all_jpg = glob.glob(r'C:UsersAdministratorDesktopsatori*.jpg')
for count,jpg in enumerate(all_jpg):
    img = cv2.imread(jpg,1)
    imgInfo = img.shape
    height = imgInfo[0]
    width = imgInfo[1]
    dst = cv2.resize(img,(int(width/2),int(height/2)))
    cv2.imwrite(rf'C:UsersAdministratorDesktopsatoriscale{count}.jpg',dst,[cv2.IMWRITE_JPEG_QUALITY,100])

cv2.waitKey(0)

#######################################

for count,jpg in enumerate(all_jpg):
    img = cv2.imread(jpg,1)
    imgInfo = img.shape
    height = imgInfo[0]
    width = imgInfo[1]
    matshift = np.float32([[1,0,100],[0,1,50]])
    dst = cv2.warpAffine(img,matshift,(width,height))
    cv2.imwrite(rf'C:UsersAdministratorDesktopsatori	ranslation{count}.jpg',dst)
cv2.waitKey(0)

############################
for count,jpg in enumerate(all_jpg):
    img = cv2.imread(jpg,1)
    imgInfo = img.shape
    height = imgInfo[0]
    width = imgInfo[1]
    dst = np.zeros(imgInfo,np.uint8)
    for i in range(0,height):
        for j in range(0,width):
            dst[i,j] = img[height-1-i,j]

    cv2.imwrite(rf'C:UsersAdministratorDesktopsatoriflip{count}.jpg',dst)

#######################
for count,jpg in enumerate(all_jpg):
    img = cv2.imread(jpg,1)
    imgInfo = img.shape
    height = imgInfo[0]
    width = imgInfo[1]
    matsrc = np.float32([[0,0],[0,height-1],[width-1,0]])
    matdst = np.float32([[50,50],[int(width/2),int(height/2)],[width-100,height-50]])
    matAffine = cv2.getAffineTransform(matsrc,matdst)
    dst = cv2.warpAffine(img,matAffine,(width,height))
    cv2.imwrite(rf'C:UsersAdministratorDesktopsatorishear{count}.jpg',dst)

########################
for count,jpg in enumerate(all_jpg):
    img = cv2.imread(jpg,1)
    imgInfo = img.shape
    height = imgInfo[0]
    width = imgInfo[1]
    matRotate = cv2.getRotationMatrix2D((width*0.5,height*0.5),60,0.5)
    dst = cv2.warpAffine(img,matRotate,(width,height))
    cv2.imwrite(rf'C:UsersAdministratorDesktopsatori
otation{count}.jpg',dst)
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     14.灰度处理

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2,numpy as np

img = cv2.imread('mashiro.jpg',0)
cv2.imshow('mashiro',img)


img = cv2.imread('b.png',1)
dst = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
cv2.imshow('mmp',dst)
cv2.waitKey(0)

img  =cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
dst = np.zeros((height,width,3),np.uint8)

for i in range(0,height):
    for j in range(0,width):
        b,g,r = img[i,j]
        gray = (int(b)+int(g)+int(r))/3
        dst[i,j] = [np.uint8(gray),np.uint8(gray),np.uint8(gray)]

cv2.imshow('mmp',dst)
cv2.waitKey(0)

img  =cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
dst = np.zeros((height,width,3),np.uint8)

for i in range(0,height):
    for j in range(0,width):
        b,g,r = img[i,j]
        b = int(b)
        g = int(g)
        r = int(r)
        gray = r*0.9+b*0.87+r*0.4
        dst[i,j] = [np.uint8(gray),np.uint8(gray),np.uint8(gray)]

cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    15.颜色反转

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import numpy as np
import cv2

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

dst = np.zeros((height,width,1),np.uint8)

for i in range(0,height):
    for j in range(0,width):
        dst[i,j] = 255 - gray[i,j]

cv2.imshow('mashiro',gray)
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)

# img = cv2.imread('mashiro.jpg',1)
# imgInfo = img.shape
# height = imgInfo[0]
# width = imgInfo[1]
# #gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
#
# dst = np.zeros((height,width,3),np.uint8)
#
# for i in range(0,height):
#     for j in range(0,width):
#         b,g,r = img[i,j]
#         dst[i,j] = 255-b,255-g,255-r
#
# cv2.imshow('mashiro',img)
# cv2.imshow('mashiro1',dst)
# cv2.waitKey(0)
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    16.马赛克

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]

for m in range(200,400):
    for n in range(100,200):
        if m%10==0 and n%10==0:
            for i in range(0,10):
                for j in range(0,10):
                    b,g,r = img[m,n]
                    img[i+m,j+n] = b,g,r

cv2.imshow('mashiro',img)
cv2.waitKey(0)
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    17.毛玻璃

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import numpy as np
import cv2,random

img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]

dst = np.zeros((height,width,3),np.uint8)
mm = 8
for m in range(0,height-mm):
    for n in range(0,width-mm):
        index = int(random.random()*8)
        b,g,r = img[m+index,n+index]
        dst[m,n] = b,g,r

cv2.imshow('mashiro',dst)
cv2.waitKey(0)
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    18.真白18岁生日快乐

    19.图片融合

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    import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
img1 = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
roiH = int(height/2)
roiW = int(width/2)
imgROI = img[0:roiH,0:roiW]
img1ROI = img[0:roiH,0:roiW]
dst = np.zeros((roiH,roiW,3),np.uint8)
dst = cv2.addWeighted(imgROI,0.5,img1ROI,0.5,0)
cv2.imshow('mashiro',dst)
cv2.waitKey(0)
#  貌似程序有问题
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    20.边缘检测

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    import cv2
import numpy as np
import random
# 所有边缘检测都是基于灰度处理的，因此先要转换成灰度图片
img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
cv2.imshow('mashiro',img)
# 1 灰度
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

# 2 高斯滤波
imgG = cv2.GaussianBlur(gray,(3,3),0)

# 图片经过卷积
dst = cv2.Canny(imgG,50,50)
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    21.浮雕效果

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    import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dst = np.zeros((height,width,1),np.uint8)
for i in range(0,height):
    for j in range(0,width-1):
        grayP0 = int(gray[i,j])
        grayP1 = int(gray[i,j+1])
        newP = grayP0-grayP1+150
        if newP>255:
            newP=255

        elif newP<0:
            newP=0
        dst[i,j] = newP
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    22.颜色映射

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    import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
dst = np.zeros((height,width,3),np.uint8)
for m in range(height):
    for n in range(width):
        b,g,r = img[m,n]
        b = b*1.5
        g = g*1.3
        if b >255:
            b=255
        if g>255:
            g=255
        dst[m,n] = b,g,r
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    23.油画特效

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    import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dst = np.zeros((height,width,3),np.uint8)
for i in range(4,height-4):
    for j in range(4,width-4):
        array1 = np.zeros(8,np.uint8)
        for m in range(-4,4):
            for n in range(-4,4):
                p1=int(gray[i+m,j+n]/32)
                array1[p1]=array1[p1]+1
        currentMax = array1[0]
        for k in range(0,8):
            if currentMax<array1[k]:
                l=k
        for m in range(-4,4):
            for n in range(-4,4):
                if gray[i+m,j+n]>(l*32) and gray[i+m,j+n]<((l+1)*32):
                    b,g,r = img[m,n]
        dst[i,j] = b,g,r
cv2.imshow('mashiro',dst)
cv2.waitKey(0)
# 程序算的会很慢很慢
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    24.线段绘制

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    import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
newImagInfo = (500,500,3)
dst = np.zeros(newImagInfo,np.uint8)
# 1.图片信息 2.开始位置 3.结束位置 4.颜色
cv2.line(dst,(100,100),(400,400),(0,0,255))
# 5.线条的宽度
cv2.line(dst,(100,200),(400,200),(0,255,255),20)
# 6.线条类型
cv2.line(dst,(100,300),(400,300),(0,255,0),20,cv2.LINE_AA)
# 绘制三角形，说白了就是三条线段
cv2.line(dst,(200,150),(50,250),(25,100,255))
# 第二条线段的起始位置是第一条线段的终止位置
cv2.line(dst,(50,250),(400,380),(25,100,255))
# 第三条线段的起始位置是第一条线段的起始位置，终止位置是第二条线段的终止位置
cv2.line(dst,(200,150),(400,380),(25,100,255))

cv2.imshow('mashiro',dst)
cv2.waitKey(0)
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    25.矩形圆形任意多边形绘制

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    import cv2
import numpy as np
newImgInfo = 500,500,3
dst = np.zeros(newImgInfo,np.uint8)
# 1.图片 2.左上角坐标 3.右下角坐标 4.颜色 5.是否填充(大于零：线条宽度，小于零：是否填充)
cv2.rectangle(dst,(50,100),(200,300),(255,0,0),-1)
# 1.图片 2.圆心 3.半径 4.颜色
cv2.circle(dst,(250,250),(50),(255,0,255),-1,cv2.LINE_AA)
# 椭圆 1.图片 2.椭圆圆心 3.长轴和短轴的长度 4.偏转角度 5.圆弧起始角度 6.圆弧终止角度 7.颜色 8.是否填充
cv2.ellipse(dst,(256,256),(150,100),0,0,180,(255,255,0),-1,cv2.LINE_AA)
# 定义任意角度
points = np.array([[150,50],[140,140],[200,170],[250,250],[150,50]],np.int32)  # (5,2)
points = points.reshape((-1,1,2))  # (5,1,2)
cv2.polylines(dst,[points],True,(0,255,255))
cv2.imshow('mashiro',dst)
cv2.waitKey(0)
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    26.文字绘制

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
font = cv2.FONT_HERSHEY_COMPLEX
# 1.图片 2.文字的内容 3.写入的坐标 4.字体 5.字体大小 6.颜色 7，字体的粗细 8.线条类型
cv2.putText(img,'hello, i am mashiro····',(100,300),font,1,(200,100,255),2,cv2.LINE_AA)
cv2.imshow('mashiro',img)
cv2.waitKey(0)
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    27.图片绘制

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
img = cv2.imread('mashiro.jpg',1)
height = int(img.shape[0]*0.2)
width = int(img.shape[1]*0.2)
imgResize = cv2.resize(img,(width,height))
for i in range(height):
    for j in range(width):
        img[i+200,j+350] = imgResize[i,j]

cv2.imshow('mashiro',img)
cv2.waitKey(0)
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    28.彩色图片直方图

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

def ImageHist(img,e_type):
    color = (255,255,255)
    windowName = 'gray'
    if e_type == 31:
        color = (255,0,0)
        windowName = 'b hist'
    elif e_type == 32:
        color = (0,255,0)
        windowName = 'g hist'
    elif e_type == 33:
        color = (0,0,255)
        windowName = 'r hist'
    # 一定要用列表的形式  1.图片 2.计算直方图的通道 3.蒙版mask 4.直方图的size，多少种 5直方图中各个像素的值
    hist = cv2.calcHist([img],[0],None,[256],[0.0,255.0])
    minV,maxV,minV_indice,maxL_indice = cv2.minMaxLoc(hist)
    histImg = np.zeros([256,256,3],np.uint8)
    for h in range(256):
        interNomal = int(hist[h]*256/maxV)
        cv2.line(histImg,(h,256),(h,256-interNomal),color)
    cv2.imshow(windowName,histImg)
    return histImg
img = cv2.imread('mashiro.jpg',3)
channels = cv2.split(img)  # RGB ---->R G B
for i in range(3):
    ImageHist(channels[i],31+i)
cv2.waitKey(0)
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    29.灰度直方图均衡化

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
cv2.imshow('mashiro',gray)
dst = cv2.equalizeHist(gray)
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    30.彩色直方图均衡化

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',3)
cv2.imshow('mashiro',img)
b,g,r = cv2.split(img)  # split之后 得到三个通道的数据
bH = cv2.equalizeHist(b)
gH = cv2.equalizeHist(g)
rH = cv2.equalizeHist(r)
result = cv2.merge((bH,gH,rH))  # 将三个通道合成在一起
cv2.imshow('mashiro1',result)
cv2.waitKey(0)
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    31.YUV直方图均衡化

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
imgYUV = cv2.cvtColor(img,cv2.COLOR_BGR2YCrCb)
cv2.imshow('mashiro',img)
channelYUV = cv2.split(imgYUV)
channelYUV[0] = cv2.equalizeHist(channelYUV[0])
channels = cv2.merge(channelYUV)
result = cv2.cvtColor(channels,cv2.COLOR_YCrCb2BGR)
cv2.imshow('mashiro1',result)
cv2.waitKey(0)
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    32.图片修补

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
for i in range(200,300):
    img[i,200] = (255,255,255)
    img[i,200+1] = (255,255,255)
    img[i,200-1] = (255,255,255)
for i in range(150,250):
    img[250,i] = (255,255,255)
    img[250+1,i] = (255,255,255)
    img[250-1,i] = (255,255,255)
cv2.imwrite('damaged_mashiro.jpg',img)


img = cv2.imread('damaged_mashiro.jpg',3)
cv2.imshow('damaged_mashiro.jpg',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
paint = np.zeros((height,width,1),np.uint8)
for i in range(200,300):
    paint[i,200] = 255
    paint[i,200+1] = 255
    paint[i,200-1] = 255
for i in range(150,250):
    paint[250,i] = 255,
    paint[250+1,i] = 255
    paint[250-1,i] = 255

cv2.imshow('paint',paint)

imgDst = cv2.inpaint(img,paint,3,cv2.INPAINT_TELEA)
cv2.imshow('mashiro',imgDst)
cv2.waitKey(0)
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    33.亮度增强

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
dst = np.zeros((height,width,3),np.uint8)
# 新图片像素的亮度等于原图片像素的亮度加上一个固定值
cv2.imshow('mashiro',img)
for i in range(height):
    for j in range(width):
        (b,g,r) = img[i,j]
        bb = int(b)+120  # 自由变换
        gg = int(g)+120
        rr = int(r)+120
        if bb > 255:
            bb = 255
        if gg > 255:
            gg = 255
        if rr > 255:
            rr = 255
        dst[i,j] = img[i,j]
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
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    34.磨皮美白

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat

# 原理：双边滤波
import cv2
img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)
dst = cv2.bilateralFilter(img,15,35,35)
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
# 由于是动漫图片，然鹅并看不出什么效果
    复制代码

    35.高斯滤波

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat

import cv2

img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)
dst = cv2.GaussianBlur(img,(5,5),1.5)
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
# 如果原图上有许多的小点点，那么高斯滤波可以过滤掉，同时图片也会变得模糊
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    36.均值滤波

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    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg',1)
cv2.imshow('mashiro',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
dst = np.zeros((height,width,3),np.uint8)
for i in range(3,height-3):
    for j in range(3,width-3):
        sum_b = int(0)
        sum_g = int(0)
        sum_r = int(0)
        for m in range(-3,3):
            for n in range(-3,3):
                b,g,r = img[i+m,j+n]
                sum_b = sum_b + int(b)
                sum_g = sum_g + int(g)
                sum_r = sum_r + int(r)
        b = np.uint8(sum_b/36)
        g = np.uint8(sum_g/36)
        r = np.uint8(sum_r/36)
        dst[i,j] = b,g,r

cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
# 然而并无卵用，程序还很慢
    复制代码

    37.中值滤波

    复制代码
    #!/usr/bin/env python
# -*- coding:utf-8 -*- 
# author:love_cat
import cv2
import numpy as np

img = cv2.imread('mashiro.jpg', 1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow('mashiro', img)
dst = np.zeros((height, width, 3), np.uint8)
collect = np.zeros(9, np.uint8)
for i in range(1, height-1):
    for j in range(1, width-1):
        k = 0
        for m in range(-1, 2):
            for n in range(-1, 2):
                gray = img[i + m, j + n]
                collect[k] = gray
                k = k + 1
        for k in range(0, 9):
            p1 = collect[k]
            for t in range(k + 1, 9):
                if p1 < collect[t]:
                    mid = collect[t]
                    collect[t] = p1
                    p1 = mid
        dst[i, j] = collect[4]
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
# 效果并不理想,程序也很慢
    复制代码

    38.视频分解成图片

    复制代码
    # 视频分解图片
# 1 load 2 info 3 parse 4 imshow imwrite
import cv2
# 打开一个视频获取，一个句柄
cap = cv2.VideoCapture(r"01.mp4")
# 判断是否打开
isOpened = cap.isOpened
print(isOpened)
# 获取视频的帧率
fps = cap.get(cv2.CAP_PROP_FPS)
# 获取图片的宽度和高度
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

print("帧率=%s，宽度=%s,高度=%s" % (fps, width, height))

i = 0
while isOpened:
    if i == 100:
        break  # 我们只获取100张图片
    else:
        i += 1
    # 读取每一张flag，frame
    # flag表示是否读取成功
    # frame表示图片的内容
    (flag, frame) = cap.read()
    fileName = "image"+str(i)+".jpg"
    print(fileName)
    if flag:
        cv2.imwrite(fileName, frame, [cv2.IMWRITE_JPEG_QUALITY, 100])  # 表示精度最高
print("end!!!")

# 程序运行结果
'''
<built-in method isOpened of cv2.VideoCapture object at 0x04F90630>
帧率=15.0，宽度=1280,高度=720
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end!!!
'''
    转自：https://www.cnblogs.com/traditional/p/9043931.html
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  • 原文地址：https://www.cnblogs.com/YiYA-blog/p/10104383.html
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