Python-さまざまな色空間で画像を視覚化する

OpenCV-Pythonは、コンピュータービジョンの問題を解決するために設計されたPythonバインディングのライブラリです。 OpenCV-Pythonは、MATLABスタイルの構文を使用した数値演算用に高度に最適化されたライブラリであるNumpyを利用します。すべてのOpenCV配列構造は、Numpy配列との間で変換されます。

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')