#腐蚀操作

import  cv2

import numpy as  np

img=cv2.imread("d:/ke.png")

kernel = np.ones((3,3),np.uint8)

erosion = cv2.erode(img,kernel,iterations = 1)#腐蚀操作 iterations控制腐蚀程度

erosion1 = cv2.erode(img,kernel,iterations = 2)

erosion2 = cv2.erode(img,kernel,iterations = 3)

res=np.hstack((img,erosion,erosion1,erosion2))

cv2.imshow('erosion', res)

cv2.waitKey(0)

cv2.destroyAllWindows()

import  cv2

import numpy as np

img=cv2.imread("d:/ke.png")

kernel=np.ones((3,3),np.uint8)

img_diate=cv2.dilate(img,kernel,iterations=1) #膨胀操作

img_diate1=cv2.dilate(img,kernel,iterations=2)

img_diate2=cv2.dilate(img,kernel,iterations=3)

res=np.hstack((img_diate,img_diate1,img_diate2)) #水平展示

cv2.imshow("ditae",res)

cv2.waitKey(0)

cv2.destroyAllWindows()

import  cv2

import  numpy as np

img=cv2.imread("d:/ke.png")

kernel=np.ones((3,3),np.uint8)

open=cv2.morphologyEx(img,cv2.MORPH_OPEN,kernel)#开运算：先腐蚀，后膨胀

close=cv2.morphologyEx(img,cv2.MORPH_CLOSE,kernel)#关运算：先膨胀，后腐蚀

res=np.hstack((open,close))

cv2.imshow("kai vs close",res)

cv2.waitKey(0)

cv2.destroyAllWindows()

#梯度运算

import  cv2

import  numpy as np

img=cv2.imread("d:/ke.png")

kernel=np.ones((3,3),np.uint8)

dilate=cv2.dilate(img,kernel,iterations=3) #膨胀

erosion=cv2.erode(img,kernel,iterations=3) #腐蚀

gradient=cv2.morphologyEx(img,cv2.MORPH_GRADIENT,kernel) #梯度

res=np.hstack((dilate,erosion,gradient))

cv2.imshow("show",res)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

import numpy as  np

img=cv2.imread("d:/ke.png")

kernel=np.ones((3,3),np.uint8)

tophar=cv2.morphologyEx(img,cv2.MORPH_TOPHAT,kernel) #礼帽

blackhar=cv2.morphologyEx(img,cv2.MORPH_BLACKHAT,kernel) #黑帽

res=np.hstack((tophar,blackhar))

cv2.imshow("hat",res)

cv2.waitKey(0)

cv2.destoryAllWindows()