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Python opencv操作深入詳解

更新時(shí)間：2021年03月22日 15:22:28 作者：佐倉

這篇文章主要介紹了Python opencv操作深入詳解，文中整理的比較詳細(xì)，有感興趣的同學(xué)可以學(xué)習(xí)下

直接讀取圖片

def display_img(file="p.jpeg"):
  img = cv.imread(file)
  print (img.shape)
  cv.imshow('image',img)
  cv.waitKey(0)
  cv.destroyAllWindows()

讀取灰度圖片

def display_gray_img(file="p.jpeg"):
  img = cv.imread(file,cv.IMREAD_GRAYSCALE)
  print (img.shape)
  cv.imshow('image',img)
  cv.waitKey(0)
  cv.destroyAllWindows()
  cv.imwrite("gray_img.png",img)

讀取視頻

def display_video(file="sj.mp4"):
  v = cv.VideoCapture(file)
  if v.isOpened():
    open,frame = v.read()
  else:
    open=False

  while open:
    ret,frame = v.read()
    if frame is None:
      break
  
    if ret == True:
      gray = cv.cvtColor(frame,cv.COLOR_BGR2GRAY)
      cv.imshow("result",gray)
      if cv.waitKey(10) & 0xFF == 27:
        break
  v.release()
  v.waitKey(0)
  v.destroyAllWindows()

截取圖片

def get_frame_img(file="p.jpeg"):
  img = cv.imread(file)
  print (img.shape)
  cat = img[0:200,0:200]
  cv.imshow('get_frame_img',cat)
  cv.waitKey(0)
  cv.destroyAllWindows()

提取rgb通道

def extrats_rgb_img(file="p.jpeg"):
  img = cv.imread(file)
  b,g,r = cv.split(img)
  print (b.shape,g.shape,r.shape)
  new_img = cv.merge((b,g,r))
  print (new_img.shape)

  copy_img_r = img.copy()
  copy_img_r[:,:,0]=0
  copy_img_r[:,:,1]=0
  cv.imshow("r_img",copy_img_r)

  copy_img_g = img.copy()
  copy_img_g[:,:,0]=0
  copy_img_g[:,:,2]=0
  cv.imshow("g_img",copy_img_g)

  copy_img_b = img.copy()
  copy_img_b[:,:,1]=0
  copy_img_b[:,:,2]=0
  cv.imshow("b_img",copy_img_b)

邊界填充

def border_fill_img(file="p.jpeg"):
  border_type = [
    cv.BORDER_REPLICATE,#復(fù)制法，復(fù)制邊緣
    cv.BORDER_REFLECT, #反射法，對(duì)感興趣的圖像中的像素在兩邊進(jìn)行復(fù)制
    cv.BORDER_REFLECT_101,#反射法，以邊緣像素為軸，對(duì)稱
    cv.BORDER_WRAP,#外包裝法
    cv.BORDER_CONSTANT#常量法，常量填充
    ]
  border_title = [
    "REPLICATE",
    "REFLECT",
    "REFLECT_101",
    "WRAP",
    "CONSTANT"
    ]
  img = cv.imread(file)
  top_size,bottom_size,left_size,right_size = (50,50,50,50)
  plt.subplot(231)
  plt.imshow(img,"gray")#原始圖像
  plt.title("ORIGNAL")

  for i in range(len(border_type)):
    result = cv.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,border_type[i])
    plt.subplot(232+i)
    plt.imshow(result,"gray")
    plt.title(border_title[i])

  plt.show()

在這里插入圖片描述

圖像融合，變換

def img_compose(file1="tu.jpeg",file2="gui.jpeg"):
  img_1 = cv.imread(file1)
  img_2 = cv.imread(file2)
  print (img_1.shape)
  print (img_2.shape)
  img_1= cv.resize(img_1,(500,500))
  img_2= cv.resize(img_2,(500,500))
  print (img_1.shape)
  print (img_2.shape)
  res = cv.addWeighted(img_1,0.4,img_2,0.6,0)
  plt.imshow(res)
  plt.show()


  res = cv.resize(img_1,(0,0),fx=3,fy=1)
  plt.imshow(res)
  plt.show()

  res = cv.resize(img_2,(0,0),fx=1,fy=3)
  plt.imshow(res)
  plt.show()

在這里插入圖片描述

二值化處理

def Binarization(filepath):
  img = cv2.imread(filepath,0)
  limit = 120
  ret,thresh=cv2.threshold(img,limit,255,cv2.THRESH_BINARY_INV)
  plt.imshow(thresh,'gray')
  plt.show()
  return thresh
Binarization('t1.jpg')

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