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    Python opencv操作深入详解

    作者:佐倉 时间:2021-05-07 17:42

    直接读取图片

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

    读取灰度图片

    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)

    读取视频

    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()

    截取图片

    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)

    边界填充

    def border_fill_img(file="p.jpeg"):
      border_type = [
        cv.BORDER_REPLICATE,#复制法,复制边缘
        cv.BORDER_REFLECT, #反射法,对感兴趣的图像中的像素在两边进行复制
        cv.BORDER_REFLECT_101,#反射法,以边缘像素为轴,对称
        cv.BORDER_WRAP,#外包装法
        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")#原始图像
      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()

    在这里插入图片描述

    图像融合,变换

    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()

    在这里插入图片描述

    二值化处理

    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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