『Python』PIL图像处理_矩阵转化

 1 import numpy as np
 2 from PIL import Image
 3 import matplotlib.pyplot as plt
 4 
 5 img = Image.open(‘./7b6021ef9e6892dcf14dc5dd269afaada763fedc13b29-iHXENu_fw658.jpeg‘)
 6 plt.imshow(img)
 7 plt.show()
 8 # 转化为数组
 9 img = np.asarray(img)
10 print(‘图像矩阵尺寸：‘,img.shape)
11 
12 # 截取上面的图片，舍弃下面20行
13 bottom = 50
14 img = img[:-bottom,:]
15 
16 # 刻度数
17 xscale = 5
18 yscale = 6
19 
20 fig = plt.figure(‘Image‘)
21 plt.imshow(img)
22 # 按照师兄的要求生成坐标
23 plt.xticks([img.shape[1]/xscale*w for w in range(xscale+1)], [‘%.1f‘ % (87.3-(87.3-82.2)/xscale*w) for w in range(xscale+1)])
24 plt.yticks([(img.shape[0]-bottom)/yscale*w for w in range(yscale+1)], [‘%.1f‘ % (-3.5-(-3.5-(-(img.shape[1]-bottom)/img.shape[1]*(-3.5-1.5)-3.5))/yscale*w) for w in range(yscale+1)])
25 plt.xlabel("Galactic Longitude")
26 plt.ylabel("Galactic Latitude")
27 plt.show()
28 fig.savefig(‘result.eps‘,format=‘eps‘)
29 fig.savefig(‘result.png‘,format=‘png‘)

/home/hellcat/anaconda2/envs/python3_6/bin/python /home/hellcat/PycharmProjects/data_analysis/帮师兄修图/handle_piecture.py
图像矩阵尺寸： (924, 658, 3)

Process finished with exit code 0