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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() 