【从零开始学python图像处理】01-图像分析常用的5个python 库

学习课程《Introductory python tutorials for image processing》所做的笔记。

Top 5 libraries for routine image analysis

• 图像处理 image processing
  scikit-image
  Opencv-python

• 数据分析 Data analysis
  numpy -> scipy(extension of numpy)
  pandas

• 绘图及可视化 Plotting & visualization
  matplotlib

• 其他的常用库
  scipy - scientific and numerical tools, extension of numpy
  keras/tensoflow - Deep learning
  seaborn and plotly - advanced, highly customizable plotting

关于这些库的使用演示

scikit-image

from skimage import io
img1 = io.imread('image.png')

opencv-python

opencv 读取出的RGB图像的通道顺序为BGR

import cv2
img2 = cv2.imread('image.png')

在Spyder的Variable Explorer中可以看到两种图像读取方法的结果差异。

numpy

创建一个全为1的5*5矩阵

import numpy as np
a = np.ones((5,5))

pandas

import pandas as pd
df = pd.read_csv('list.csv')
print(df.head())

matplotlib

from matplotlib import pyplot as plt
plt.imshow(img1)