OpenCV 形态学

1 腐蚀

import cv2
import numpy as np

img=cv2.imread('C:/Users/Administrator/Desktop/kai.jpg')
kerneal =cv2.getStructuringElement(cv2.MORPH_RECT,(5,5))

#腐蚀
dst=cv2.erode(img,kerneal,iterations=2)

cv2.imshow("img",np.hstack((img,dst)))
cv2.waitKey(0)
cv2.destroyAllWindows()

2 膨胀

import cv2
import numpy as np

img=cv2.imread('C:/Users/Administrator/Desktop/bi.jpg')
kerneal =cv2.getStructuringElement(cv2.MORPH_RECT,(5,5))

# #膨胀
dst=cv2.dilate(img,kerneal,2)

cv2.imshow("img",np.hstack((img,dst)))
cv2.waitKey(0)
cv2.destroyAllWindows()

3 开操作：先腐蚀再膨胀

import cv2
import numpy as np

img=cv2.imread('C:/Users/Administrator/Desktop/kai.jpg')
kerneal =cv2.getStructuringElement(cv2.MORPH_RECT,(5,5))


#开操作
dst=cv2.morphologyEx(img,cv2.MORPH_OPEN,kerneal,iterations=2)

cv2.imshow("img",np.hstack((img,dst)))
cv2.waitKey(0)
cv2.destroyAllWindows()

4 闭操作 :先膨胀再腐蚀

import cv2
import numpy as np

img=cv2.imread('C:/Users/Administrator/Desktop/bi.jpg')
kerneal =cv2.getStructuringElement(cv2.MORPH_RECT,(5,5))

#闭操作
dst=cv2.morphologyEx(img,cv2.MORPH_CLOSE,kerneal,iterations=2)

cv2.imshow("img",np.hstack((img,dst)))
cv2.waitKey(0)
cv2.destroyAllWindows()

5 形态学梯度 =原图-腐蚀图

import cv2
import numpy as np

img=cv2.imread('C:/Users/Administrator/Desktop/bi.jpg')
kerneal =cv2.getStructuringElement(cv2.MORPH_RECT,(5,5))

#形态学梯度
dst=cv2.morphologyEx(img,cv2.MORPH_GRADIENT,kerneal,iterations=2)

cv2.imshow("img",np.hstack((img,dst)))
cv2.waitKey(0)
cv2.destroyAllWindows()