python 图像处理之将图片转换为txt

cv2

【参看：https://blog.csdn.net/jqw11/article/details/73826014】

安装方法：命令行输入：

 pip3 install opencv-python

import cv2

image = cv2.imread('E:/young.jpg')
print(image)
print(type(image))
print(image.shape)

得到： 

[[[112 108  84]
  [118 114  90]
  [114 110  86]
  ...
  [128 126 115]
  [126 126 114]
  [127 127 115]]

 [[110 106  82]
  [114 110  86]
  [112 108  84]
  ...
  [126 124 113]
  [121 121 109]
  [123 123 111]]

 [[113 109  85]
  [115 111  87]
  [113 109  85]
  ...
  [122 120 110]
  [125 124 114]
  [120 119 109]]

 ...

 [[ 66  67  47]
  [142 143 123]
  [114 116  94]
  ...
  [121 119  95]
  [115 113  89]
  [114 112  88]]

 [[ 48  50  28]
  [ 99 101  79]
  [105 107  85]
  ...
  [100  98  74]
  [107 105  81]
  [108 106  82]]

 [[ 47  49  27]
  [104 106  84]
  [107 109  87]
  ...
  [ 97  95  71]
  [111 109  85]
  [108 106  82]]]

(4000, 3000, 3)

PIL

from PIL import Image

a = Image.open('E:/young.jpg')
print(a)

运行结果： 

转换成array形式： 

from PIL import Image
import numpy as np
a = Image.open('E:/young.jpg')
print(a)
b = np.array(a)
print(b)
print(type(b))

将图片转换成简单txt

from PIL import Image
import numpy as np

if __name__ == "__main__":
    image_file = 'E:/young.jpg'
    height = 100

    img = Image.open(image_file)
    img_width, img_height = img.size
    width = int(1.8 * height * img_width//img_height) #嘉定字符的高度是宽度的
    img = img.resize((width,height),Image.ANTIALIAS)
    pixels = np.array(img.convert('L'))
    print('type(pixels) = ', type(pixels))
    print(pixels.shape)
    print(pixels)
    chars = 'MNHQ$OC?&>!:-;.'
    N = len(chars)
    step = 256//N
    print(N)
    result = ''
    for i in range(height):
        for j in range(width):
            result += chars[pixels[i][j] // step]
        result += '\n'
    with open('E:/text.txt', mode = 'w') as f:
        f.write(result)

得到的text.txt缩小之后：