Python-可视化不同颜色空间中的图像

2024-05-01 14:30:04 378

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')

Python-可视化不同颜色空间中的图像

示例

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