#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:love_cat
import cv2
# 接收兩個參數，一個是文件名，一個值，如果值為1，接收的是彩色圖片，如果值為零，接受的是灰度圖片。會有一個返回值，表示返回的圖片內容
img = cv2.imread('mashiro.jpg',1)
# 接收兩個參數，一個是窗體名稱，另一個是要顯示的內容
cv2.imshow('mashiro',img)
# 將程序暫停，只有這樣，才能看到圖片,否則圖片會一閃而過因為程序結束了，如果time.sleep()的話，會卡住
cv2.waitKey(0)
2. 圖片寫入
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:love_cat
import cv2
img = cv2.imread('mashiro.jpg',1)
cv2.imwrite('mashiro1.jpg',img)
3.不同圖片質量保存
#!/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屬於有損壓縮，是以圖片的清晰度為代價的，數字越小，壓縮比越高，圖片質量損失越嚴重
# png屬於無損壓縮，數字0-9，數字越低，壓縮比越低
4.像素操作基礎
#!/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)
5.圖片縮放
#!/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)
6.圖片縮放（源碼實現）
#!/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)
7.圖片剪切
#!/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)
8.圖片移位
#!/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)
9.圖片移位（源碼實現）
#!/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)
10.圖片鏡像
#!/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)
11.圖片仿射變換
#!/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)
12.圖片旋轉
#!/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)
13.閑的蛋疼（批量將圖片進行上述操作）
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:love_cat
import cv2
import glob
import numpy as np
all_jpg = glob.glob(r'C:\Users\Administrator\Desktop\satori\*.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:\Users\Administrator\Desktop\satori\scale\{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:\Users\Administrator\Desktop\satori\translation\{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:\Users\Administrator\Desktop\satori\flip\{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:\Users\Administrator\Desktop\satori\shear\{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:\Users\Administrator\Desktop\satori\rotation\{count}.jpg',dst)
14.灰度處理
#!/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)
15.顏色反轉
#!/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)
16.馬賽克
#!/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)
17.毛玻璃
#!/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)
18.真白18歲生日快樂
19.圖片融合
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)
# 貌似程序有問題
20.邊緣檢測
import cv2
import numpy as np
import random
# 所有邊緣檢測都是基於灰度處理的，因此先要轉換成灰度圖片
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 高斯濾波
imgG = cv2.GaussianBlur(gray,(3,3),0)
# 圖片經過卷積
dst = cv2.Canny(imgG,50,50)
cv2.imshow('mashiro1',dst)
cv2.waitKey(0)
21.浮雕效果
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)
22.顏色映射
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)
23.油畫特效
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)
# 程序算的會很慢很慢
24.線段繪制
import cv2
import numpy as np
img = cv2.imread('mashiro.jpg',1)
newImagInfo = (500,500,3)
dst = np.zeros(newImagInfo,np.uint8)
# 1.圖片信息 2.開始位置 3.結束位置 4.顏色
cv2.line(dst,(100,100),(400,400),(0,0,255))
# 5.線條的寬度
cv2.line(dst,(100,200),(400,200),(0,255,255),20)
# 6.線條類型
cv2.line(dst,(100,300),(400,300),(0,255,0),20,cv2.LINE_AA)
# 繪制三角形，說白了就是三條線段
cv2.line(dst,(200,150),(50,250),(25,100,255))
# 第二條線段的起始位置是第一條線段的終止位置
cv2.line(dst,(50,250),(400,380),(25,100,255))
# 第三條線段的起始位置是第一條線段的起始位置，終止位置是第二條線段的終止位置
cv2.line(dst,(200,150),(400,380),(25,100,255))
cv2.imshow('mashiro',dst)
cv2.waitKey(0)
25.矩形圓形任意多邊形繪制
import cv2
import numpy as np
newImgInfo = 500,500,3
dst = np.zeros(newImgInfo,np.uint8)
# 1.圖片 2.左上角坐標 3.右下角坐標 4.顏色 5.是否填充(大於零：線條寬度，小於零：是否填充)
cv2.rectangle(dst,(50,100),(200,300),(255,0,0),-1)
# 1.圖片 2.圓心 3.半徑 4.顏色
cv2.circle(dst,(250,250),(50),(255,0,255),-1,cv2.LINE_AA)
# 橢圓 1.圖片 2.橢圓圓心 3.長軸和短軸的長度 4.偏轉角度 5.圓弧起始角度 6.圓弧終止角度 7.顏色 8.是否填充
cv2.ellipse(dst,(256,256),(150,100),0,0,180,(255,255,0),-1,cv2.LINE_AA)
# 定義任意角度
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)
26.文字繪制
#!/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.圖片 2.文字的內容 3.寫入的坐標 4.字體 5.字體大小 6.顏色 7，字體的粗細 8.線條類型
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)
27.圖片繪制
#!/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)
28.彩色圖片直方圖
#!/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.圖片 2.計算直方圖的通道 3.蒙版mask 4.直方圖的size，多少種 5直方圖中各個像素的值
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)
29.灰度直方圖均衡化
#!/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)
30.彩色直方圖均衡化
#!/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 得到三個通道的數據
bH = cv2.equalizeHist(b)
gH = cv2.equalizeHist(g)
rH = cv2.equalizeHist(r)
result = cv2.merge((bH,gH,rH)) # 將三個通道合成在一起
cv2.imshow('mashiro1',result)
cv2.waitKey(0)
31.YUV直方圖均衡化
#!/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)
32.圖片修補
#!/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)
33.亮度增強
#!/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)
# 新圖片像素的亮度等於原圖片像素的亮度加上一個固定值
cv2.imshow('mashiro',img)
for i in range(height):
for j in range(width):
(b,g,r) = img[i,j]
bb = int(b)+120 # 自由變換
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)
34.磨皮美白
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:love_cat
# 原理：雙邊濾波
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)
# 由於是動漫圖片，然鵝並看不出什么效果
35.高斯濾波
#!/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)
# 如果原圖上有許多的小點點，那么高斯濾波可以過濾掉，同時圖片也會變得模糊
36.均值濾波
#!/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)
# 然而並無卵用，程序還很慢
37.中值濾波
#!/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)
# 效果並不理想,程序也很慢
38.視頻分解成圖片
# 視頻分解圖片
# 1 load 2 info 3 parse 4 imshow imwrite
import cv2
# 打開一個視頻獲取，一個句柄
cap = cv2.VideoCapture(r"01.mp4")
# 判斷是否打開
isOpened = cap.isOpened
print(isOpened)
# 獲取視頻的幀率
fps = cap.get(cv2.CAP_PROP_FPS)
# 獲取圖片的寬度和高度
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
print("幀率=%s，寬度=%s,高度=%s" % (fps, width, height))
i = 0
while isOpened:
if i == 100:
break # 我們只獲取100張圖片
else:
i += 1
# 讀取每一張flag，frame
# flag表示是否讀取成功
# frame表示圖片的內容
(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!!!")
# 程序運行結果
'''
<built-in method isOpened of cv2.VideoCapture object at 0x04F90630>
幀率=15.0，寬度=1280,高度=720
image1.jpg
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end!!!
'''
轉自：https://www.cnblogs.com/traditional/p/9043931.html