詳細步驟如下：

#導入cv模塊 import cv2 as cv import random import numpy as np # # =================================存取圖像===================================== # 60號宋體字母占用字符比較 xiangsi={"I":198,"V":229,"L":230,"U":235,"C":236,"Y":236,"T":245,"J":248,"A":262,"X":265,"Z":270,"N":276,"G":281,"F":284,"P":303,"O":306,"E":322,"K":339,"D":357,"W":373,"R":380,"H":384,"Q":391,"B":391,"S":292,"M":432 }I_value=180 # I映射為不同的值表示亮度， M_value=50 # M映射為50 x=(M_value-I_value)/(xiangsi['M']-xiangsi['I']) b=I_value-xiangsi['I']*x #歸一化，后數組遞減排列 for zimu in xiangsi:xiangsi[zimu]=int(x*xiangsi[zimu]+b) # 將字母表示為對應的黑度值。print(xiangsi)# # 直接讀取單通道灰度圖 gray_img = cv.imread('4.jpg', cv.IMREAD_GRAYSCALE) gray_img = cv.resize(gray_img,(int(gray_img.shape[1]),int(gray_img.shape[0]/1.7)),interpolation=cv.INTER_CUBIC) # cv.imshow('iker', gray_img) # cv.waitKey(0) print(gray_img.shape) # 先是高度， 再是寬度 file = open('1.txt',mode='w')for row in range(gray_img.shape[0]):for col in range(gray_img.shape[1]):pzimu=" "cansee=Falsefor zimu in xiangsi:if (gray_img[row][col] > xiangsi[zimu]):file.write(pzimu)cansee=Truebreakelse:pzimu=zimuif(not cansee):file.write(pzimu)file.write('\n') file.close()

//*****如果包導不進去，就導opencv-python*******///

原圖：

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效果圖：

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注意兩點：

1圖片像素太大，可以用畫圖，修改像素大小

2.通過調整文本格式里的格式（小六，西歐文）

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轉載于:https://www.cnblogs.com/542684416-qq/p/9938515.html

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