OpenCV：腐蚀、膨胀
import cv2import numpy as npimg = cv2.imread('数字.jpg')img = cv2.resize(img, (300, 460))# 转成灰度图片img_H = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)# 二值化ret,img_E=cv2.threshold(img_H, 100, 255, cv2.THRESH_BINARY) #阈值范围100-255# k_0 = np.ones((3, 3), np.uint8)k_1 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3,3)) #3*3的矩形框，全为1，与13行相同img_F = cv2.erode(img, k_1, iterations=1) #腐蚀一次img_FE = cv2.erode(img_E, k_1, iterations=1)'''cv2.erode(src, kernel, anchor, iterations)src：输入图像kernel：腐蚀内核，一次的涵盖范围anchor：腐蚀对像素点，默认内核中心点iterations：腐蚀次数'''img_P = cv2.dilate(img, k_1, iterations=1)#膨胀1次img_PE = cv2.dilate(img_E, k_1, iterations=1)'''cv2.dilate(src, kernel, iterations)src：输入图像kernel：膨胀内核，一次的涵盖范围iterations：膨胀次数'''cv2.imshow('原图', img)cv2.imshow('腐蚀', img_F)cv2.imshow('膨胀', img_P)cv2.imshow('二值化原图', img_E)cv2.imshow('二值化腐蚀', img_FE)cv2.imshow('二值化膨胀', img_PE)cv2.waitKey(0)cv2.destroyAllWindows()
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