PIL

PIL库支持图像存储、显示和处理，能够处理几乎所有格式的图片

Image读取图片为Image类型，可直接显示

from PIL import Imageimg = Image.open('youyou.jpeg')#打开图片img.show()#显示图片img.save('youyou.jpg')#保存图片

图像转化为numpy类型后shape为[h,w,c],chanel顺序为[r,g,b]

import numpy as npimg = np.array(img)print(img[:,:,0])#r通道

array([[231, 231, 231, ..., 238, 238, 237],

[231, 231, 231, ..., 238, 238, 237],

[231, 231, 231, ..., 238, 238, 237],

...,

[134, 134, 134, ..., 107, 108, 109],

[133, 133, 133, ..., 108, 109, 109],

[132, 132, 132, ..., 108, 109, 110]], dtype=uint8)

numpy类型保存前须转为Image类型

img = Image.fromarray(img)img.show()#显示图片img.save('youyou.jpg')#保存图片

cv2

cv2读取图片为numpy类型，shape为[h,w,c],chanel顺序为[b,g,r]

import cv2 as cvimg = cv.imread('youyou.jpeg')#打开图片print(img[:,:,2])#r通道

array([[199, 199, 199, ..., 207, 207, 206],[199, 199, 199, ..., 207, 207, 206],[199, 199, 199, ..., 207, 207, 206],...,[165, 165, 165, ..., 147, 148, 149],[164, 164, 164, ..., 148, 149, 149],[163, 163, 163, ..., 148, 149, 150]], dtype=uint8)

cv.imshow('youyou',img)#显示图片cv.imwrite('youyou.png',img)#保存图片

matplotlib

matplotlib 是python最著名的2D绘图库，适合交互式制图

plt可显示Image类型图片

import matplotlib.pyplot as pltimg = Image.open('youyou.jpeg')#打开图片plt.figure("youyou")plt.imshow(img)plt.show()

plt也可显示numpy类型图片

import matplotlib.pyplot as pltimg = cv.imread('youyou.jpeg')#打开图片plt.figure("youyou")plt.imshow(img)plt.show()

注意cv2读取的图片通道为bgr，若用其他工具显示需要转换通道

import matplotlib.pyplot as pltimg = cv.imread('youyou.jpeg')#打开图片img1 = img.copy() #改变img1的时候不改变imgimg1[:,:,0] = img[:,:,2]img1[:,:,1] = img[:,:,1]img1[:,:,2] = img[:,:,0] #cv2读取的是bgr,转换成rgb就要做一下变通img = img1plt.figure("youyou")plt.imshow(img)plt.show()

如果觉得《Python图像处理工具——PIL opencv matplotlib》对你有帮助，请点赞、收藏，并留下你的观点哦！