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import cv2
import numpy as np
# 读取照片
img=cv2.imread('D:/Python_demo/My_practice/girl.jpg')
# img=cv2.imread('D:/Python_demo/My_practice/wedding.jpg')

# 图像缩放
img = cv2.resize(img,None,fx=0.5,fy=0.5)
rows,cols,channels = img.shape
print(rows,cols,channels)
cv2.imshow('img',img)

# 图片转换为灰度图
hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
cv2.imshow('hsv',hsv)

# 图片的二值化处理
lower_blue=np.array([90,70,70])
upper_blue=np.array([110,255,255])
mask = cv2.inRange(hsv, lower_blue, upper_blue)


#腐蚀膨胀
erode=cv2.erode(mask,None,iterations=1)
cv2.imshow('erode',erode)

dilate=cv2.dilate(erode,None,iterations=1)
cv2.imshow('dilate',dilate)

#遍历替换
for i in range(rows):
  for j in range(cols):
    if erode[i,j]==255: # 像素点为255表示的是白色，我们就是要将白色处的像素点，替换为红色
      img[i,j]=(0,0,255) # 此处替换颜色，为BGR通道，不是RGB通道
         
cv2.imshow('res',img)

# 窗口等待的命令，0表示无限等待
cv2.waitKey(0)