OPENCV学习DAY5

心态学-腐蚀操作

import cv2
import numpy as np

img = cv2.imread('qing.jpg')
cv2.imshow('img',img)

kernel = np.ones((5, 5),np.uint8)#决定每次腐蚀的范围
erosion = cv2.erode(img,kernel,iterations = 1)#iterations为迭代次数，迭代次数越多，腐蚀程度越深
cv2.imshow('erosion', erosion)


cv2.waitKey(0)
cv2.destroyAllWindows()

改变迭代次数

import cv2
import numpy as np

img = cv2.imread('qing.jpg')
cv2.imshow('img',img)

kernel = np.ones((5, 5),np.uint8)#决定每次腐蚀的范围
erosion = cv2.erode(img,kernel,iterations = 3)#iterations为迭代次数，迭代次数越多，腐蚀程度越深
cv2.imshow('erosion', erosion)


cv2.waitKey(0)
cv2.destroyAllWindows()

改变腐蚀范围

import cv2
import numpy as np

img = cv2.imread('qing.jpg')
cv2.imshow('img',img)

kernel = np.ones((9, 9),np.uint8)#决定每次腐蚀的范围
erosion = cv2.erode(img,kernel,iterations = 1)#iterations为迭代次数，迭代次数越多，腐蚀程度越深
cv2.imshow('erosion', erosion)


cv2.waitKey(0)
cv2.destroyAllWindows()

膨胀操作

import cv2
import numpy as np

img = cv2.imread('qing.jpg')
cv2.imshow('img',img)

kernel = np.ones((9, 9),np.uint8)#决定每次腐蚀的范围
erosion = cv2.erode(img,kernel,iterations = 1)#iterations为迭代次数，迭代次数越多，腐蚀程度越深
cv2.imshow('erosion', erosion)

kernel = np.ones((9, 9),np.uint8)#决定每次腐蚀的范围
dilate = cv2.dilate(erosion,kernel,iterations = 1)#iterations为迭代次数，迭代次数越多，腐蚀程度越深
cv2.imshow('dilate', dilate)
cv2.waitKey(0)
cv2.destroyAllWindows()

膨胀操作与腐蚀操作互逆