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法律研究Python - 不同顏色空間中的影像視覺化
OpenCV-Python 是一個 Python 繫結庫，旨在解決計算機視覺問題。OpenCV-Python 利用 Numpy，這是一個高度最佳化的數值運算庫，具有 MATLAB 風格的語法。所有 OpenCV 陣列結構都會轉換為 Numpy 陣列或從 Numpy 陣列轉換回來。
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')
更新時間： 2020 年 8 月 6 日
203 次瀏覽
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