import cv2

import matplotlib.pylab as plt

import numpy as np

img1 = cv2.imread('D:\\gudugudu\\Pictures\\weixin\\xiaotidaya.jpg', cv2.IMREAD_ANYCOLOR)

img2 = cv2.imread('D:\\gudugudu\\Pictures\\weixin\\guoqing.jpg', cv2.IMREAD_GRAYSCALE)

img3 = cv2.imread('D:\\gudugudu\\Pictures\\weixin\\zhaoyang.jpg', cv2.IMREAD_GRAYSCALE)

img_x = cv2.resize(img1, (500, 500))

img_y = cv2.resize(img2, (500, 500))

img_z = cv2.resize(img3, (500, 500))

vc = cv2.VideoCapture("D:\\gudugudu\\Pictures\\weixin\\WeChat_20240706150425.mp4")

def cv_show(name, img):

cv2.imshow('name', img)

cv2.waitKey(0)

cv2.destroyAllWindows()

def erode(img): #图像腐蚀操作

kernel = np.ones((5, 5), np.uint8) #选择腐蚀核的大小

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

cv2.imshow('name', erosion)

cv2.waitKey(0)

cv2.destroyAllWindows()

def dilErode(img): #图像膨胀操作

kernel = np.ones((5, 5), np.uint8)

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

cv2.imshow('name', dil_erosion)

cv2.waitKey(0)

cv2.destroyAllWindows()

def MorphOpen(img): #图像的开运算， 先腐蚀再膨胀

kernel = np.ones((5, 5), np.uint8)

opening = cv2.morphologyEx(img, cv2.MORPH_OPEN, kernel)

cv2.imshow('name', opening)

cv2.waitKey(0)

cv2.destroyAllWindows()

def MorphClose(img): #图像的闭运算， 先膨胀再腐蚀

kernel = np.ones((5, 5), np.uint8)

closing = cv2.morphologyEx(img, cv2.MORPH_CLOSE, kernel)

cv2.imshow('name', closing)

cv2.waitKey(0)

cv2.destroyAllWindows()

def gradint(img):#减法运算： 原图-腐蚀操作

kernel = np.ones((5, 5), np.uint8)

gradintion = cv2.morphologyEx(img, cv2.MORPH_GRADIENT, kernel)

cv2.imshow('name', gradintion)

cv2.waitKey(0)

cv2.destroyAllWindows()

def TopHat(img):#礼帽操作， 原始-开运算

kernel = np.ones((2, 2), np.uint8)

tophat = cv2.morphologyEx(img, cv2.MORPH_TOPHAT, kernel)

cv2.imshow('name', tophat)

cv2.waitKey(0)

cv2.destroyAllWindows()

def BlackHat(img):#黑帽操作： 闭运算-原始输入

kernel = np.ones((2, 2), np.uint8)

blackhat = cv2.morphologyEx(img, cv2.MORPH_BLACKHAT, kernel)

cv2.imshow('name', blackhat)

cv2.waitKey(0)

cv2.destroyAllWindows()