#腐蚀
"""
import cv2
import numpy as np
img = cv2.imread('one.jpg')
kernel = np.ones((5,5),np.uint8)
erosion = cv2.erode(img,kernel,iterations=1)
cv2.imshow('erosion',erosion)
cv2.waitKey(0)
cv2.imwrite('erosion.jpg',erosion)
"""
#膨胀
"""
import cv2
import numpy as np
img = cv2.imread('one.jpg')
kernel = np.ones((5,5),np.uint8)#使用一个5*5的卷积核
dilation = cv2.dilate(img,kernel,iterations=1)
cv2.imshow('erosion',erosion)
cv2.waitKey(0)
cv2.imwrite('膨胀.jpg',erosion)
"""
#开运算（先腐蚀后膨胀）去除噪点
"""
import cv2
import numpy as np
img = cv2.imread('安全距离.jpg')
kernel = np.ones((5,5),np.uint8)#使用一个5*5的卷积核
opening = cv2.morphologyEx(img,cv2.MORPH_OPEN,kernel)
cv2.imshow('erosion',erosion)
cv2.waitKey(0)
cv2.imwrite('开运算.jpg',erosion)
"""
#闭运算（先膨胀后腐蚀)填充物体上的小黑点
"""
import cv2
import numpy as np
img = cv2.imread('安全距离.jpg')
kernel = np.ones((5,5),np.uint8)#使用一个5*5的卷积核
closing = cv2.morphologyEx(img,cv2.MORPH_CLOSE,kernel)
cv2.imshow('erosion',erosion)
cv2.waitKey(0)
cv2.imwrite('闭运算.jpg',erosion)
"""
#形态学梯度
"""
import cv2
import numpy as np
img = cv2.imread('安全距离.jpg')
kernel = np.ones((5,5),np.uint8)#使用一个5*5的卷积核
gradient = cv2.morphologyEx(img,cv2.MORPH_GRADIENT,kernel)
cv2.imshow('erosion',erosion)
cv2.waitKey(0)
cv2.imwrite('形态学梯度.jpg',erosion)
"""
#寻找轮廓
"""
import numpy as np
import cv2
img = cv2.imread('opening.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, binary = cv2.threshold(gray,127,255,cv2.THRESH_BINARY)
contours, hierarchy = cv2.findContours(binary,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(img,contours,-1,(0,0,255),3)
cv2.imshow("img", img)
cv2.waitKey(0)
"""
1、depth去除安全距离后
2、闭运算
3、腐蚀
4、开运算
5、膨胀
6、形态学梯度
