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Image Processing

Colorbar

An implementation of digital image processing to generate Colorbar (Colormap) for screen test.

Content

Requirements

  • Python
  • OpenCV apt install python-opencv

Programming

  • create file colorbar.py 
import numpy as np
import cv2 

# Create a black image
img = np.zeros((80,560,3), np.uint8)

cv2.rectangle(img,   (0,0),  (80,80), (0xC0, 0xC0, 0xC0), -1)  # gray (BGR)
cv2.rectangle(img,  (80,0), (160,80), (0x00, 0xFF, 0xFF), -1)  # yellow
cv2.rectangle(img, (160,0), (240,80), (0xFF, 0xFF, 0x00), -1)  # cyan
cv2.rectangle(img, (240,0), (320,80), (0x00, 0xFF, 0x00), -1)  # green
cv2.rectangle(img, (320,0), (400,80), (0xFF, 0x00, 0xFF), -1)  # magenta
cv2.rectangle(img, (400,0), (480,80), (0x00, 0x00, 0xFF), -1)  # red
cv2.rectangle(img, (480,0), (560,80), (0xFF, 0x00, 0x00), -1)  # blue
cv2.imwrite('colorbar.png',img)

Running

  • Running colorbar.py 
    # python ./colorbar.py
  • Result
    r

Advanced

  • n/a

Reference