一、如果系统里没有安装PIL库的，请先到命令提示符输入“pip install pillow”进行安装
二、之后就可以参考以下的代码
from PIL import Image
from pylab import * # 添加中文字体支持
from matplotlib.font_manager import FontProperties
font = FontProperties(fname=r"c:\windows\fonts\SimSun.ttc", size=14)
figure() pil_im = Image.open('E:\python\Python Computer Vision\Image data\empire.jpg')
gray()
subplot(121)
title(u'原图',fontproperties=font)
axis('off')
imshow(pil_im) pil_im = Image.open('E:\python\Python Computer Vision\Image data\empire.jpg').convert('L')
subplot(122)
title(u'灰度图',fontproperties=font)
axis('off')
imshow(pil_im) show()
三，可以观看效果
四、其还可以进行旋转等操作
from PIL import Image
from pylab import * # 添加中文字体支持
from matplotlib.font_manager import FontProperties font = FontProperties(fname=r"c:\windows\fonts\SimSun.ttc", size=14)
figure() # 显示原图
pil_im = Image.open('E:/python/Python Computer Vision/Image data/empire.jpg')
print(pil_im.mode, pil_im.size, pil_im.format)
subplot(231)
title(u'原图', fontproperties=font)
axis('off')
imshow(pil_im) # 显示灰度图
pil_im = Image.open('E:/python/Python Computer Vision/Image data/empire.jpg').convert('L')
gray()
subplot(232)
title(u'灰度图', fontproperties=font)
axis('off')
imshow(pil_im) # 复制并粘贴区域
pil_im = Image.open('E:/python/Python Computer Vision/Image data/empire.jpg')
box = (100, 100, 400, 400)
region = pil_im.crop(box)
region = region.transpose(Image.ROTATE_180)
pil_im.paste(region, box)
subplot(233)
title(u'复制粘贴区域', fontproperties=font)
axis('off')
imshow(pil_im) # 缩略图
pil_im = Image.open('E:/python/Python Computer Vision/Image data/empire.jpg')
size = 128, 128
pil_im.thumbnail(size)
print(pil_im.size)
subplot(234)
title(u'缩略图', fontproperties=font)
axis('off')
imshow(pil_im)
pil_im.save('E:/python/Python Computer Vision/Image data/empire thumbnail.jpg')# 保存缩略图 #调整图像尺寸
pil_im=Image.open('E:/python/Python Computer Vision/Image data/empire thumbnail.jpg')
pil_im=pil_im.resize(size)
print(pil_im.size)
subplot(235)
title(u'调整尺寸后的图像',fontproperties=font)
axis('off')
imshow(pil_im) #旋转图像45°
pil_im=Image.open('E:/python/Python Computer Vision/Image data/empire thumbnail.jpg')
pil_im=pil_im.rotate(45)
subplot(236)
title(u'旋转45°后的图像',fontproperties=font)
axis('off')
imshow(pil_im) show()
查看效果：