详解python中读取和查看图片的6种方法
目录
- 1 OpenCV
- 2 imageio
- 3 PIL
- 4 scipy.misc
- 5 tensorflow
- 6 skimage
本文主要介绍了python中读取和查看图片的6种方法,分享给大家,具体如下:
file_name1='test_imgs/spect/1.png' # 这是彩色图片 file_name2='test_imgs/mri/1.png' # 这是灰度图片
1 OpenCV
注:用cv2读取图片默认通道顺序是B、G、R
,而不是通常的RGB顺序,所以读进去的彩色图直接显示会出现变色情况,详情可以看:https://www.jb51.net/article/245048.htm
import cv2 spect= cv2.imread(file_name1) # BGR spect= spect[:, :, ::-1] # RGB mri= cv2.imread(file_name2) # 灰度图 print(spect.shape) # (256, 256, 3) print(mri.shape) # (256, 256, 3) cv2读进来是三通道的图片
import matplotlib.pyplot as plt plt.imshow(spect) plt.show()
import matplotlib.pyplot as plt fig=plt.figure() f1 = fig.add_subplot(121) f2 = fig.add_subplot(122) f1.imshow(spect) f2.imshow(mri) plt.show()
2 imageio
import imageio spect = imageio.imread(file_name1) mri = imageio.imread(file_name2) print(spect.shape) # (256, 256, 3) print(mri.shape) # (256, 256)
import matplotlib.pyplot as plt fig=plt.figure() f1 = fig.add_subplot(121) f2 = fig.add_subplot(122) f1.imshow(spect) f2.imshow(mri,cmap='gray') # 注:单通道灰度图必须加上cmap='gray'才能正确显示 plt.show()
3 PIL
from PIL import Image import numpy as np spect= Image.open(file_name1) # <PIL.PngImagePlugin.PngImageFile image mode=RGB size=256x256 at 0x1D9F15FFDC8> spect.show()
4 scipy.misc
from scipy.misc import imread spect = imread(file_name1) mri = imread(file_name2)
import matplotlib.pyplot as plt fig=plt.figure() f1 = fig.add_subplot(121) f2 = fig.add_subplot(122) f1.imshow(spect) f2.imshow(mri,cmap='gray') # 注:单通道灰度图必须加上cmap='gray'才能正确显示 plt.show()
5 tensorflow
from tensorflow.python.keras.preprocessing.image import load_img spect = load_img(file_name1) # <PIL.PngImagePlugin.PngImageFile image mode=RGB size=256x256 at 0x1D9EF188048>
spect.show()
6 skimage
from skimage import io import matplotlib.pyplot as plt mri = io.imread(file_name2)#读取数据 plt.imshow(mri,cmap='gray') # 注:单通道灰度图必须加上cmap='gray'才能正确显示 plt.show()
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