Python-可视化不同颜色空间中的图像
OpenCV-Python是旨在解决计算机视觉问题的Python绑定库。OpenCV-Python利用了Numpy，这是一个高度优化的库，用于使用MATLAB样式的语法进行数值运算。所有OpenCV数组结构都与Numpy数组相互转换。
示例
# read image as RGB# Importing cv2 and matplotlib module
import cv2
import matplotlib.pyplot as plt
# reads image as RGB
img = cv2.imread('download.png')
# shows the image
plt.imshow(img)
# read image as GrayScale
# Importing cv2 module
import cv2
# Reads image as gray scale
img = cv2.imread('download.png', 0)
# We can alternatively convert
# image by using cv2color
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Shows the image
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# read image as YCrCb color space
# Import cv2 module
import cv2
# Reads the image
img = cv2.imread('download.png')
# Convert to YCrCb color space
img = cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)
# Shows the image
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# read image as HSV color space
# Importing cv2 module
import cv2
# Reads the image
img = cv2.imread('download.png')
# Converts to HSV color space
img = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# Shows the image
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# Heat map of image
# Importing matplotlib and cv2
import matplotlib.pyplot as plt
import cv2
# reads the image
img = cv2.imread('download.png')
# plot heat map image
plt.imshow(img, cmap ='hot')
# Spectral map of image
# Importing matplotlib and cv2
import matplotlib.pyplot as plt
import cv2
img = cv2.imread('download.png')
plt.imshow(img, cmap ='nipy_spectral')
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