Life2Coding
Create a Color Background Image using OpenCV in Python

This post will be helpful in learning OpenCV using Python programming. Here I will show how to implement OpenCV functions and apply them in various aspects using some great examples. Then the output will be visualized along with the comparisons.

We will also discuss the basic of image processing and provide the detail explanation related to the OpenCV functions.

Requirements:

First, you need to setup your Python Environment with OpenCV. You can easily do it by following Life2Coding’s tutorial on YouTube: Linking OpenCV with Python 3

Goals:

The goal is to make you understand how to ceate a color background image using OpenCV in Python

Documentation:

imshow()

None=cv.imshow(winname, mat)

Displays an image in the specified window.

Parameters
winname Name of the window.
mat Image to be shown.

waitKey()

retval=cv.waitKey([, delay])

Waits for a pressed key.

Parameters
delay Delay in milliseconds. 0 is the special value that means “forever”.

destroyAllWindows()

None=cv.destroyAllWindows()

Destroys all of the HighGUI windows.

Steps:

  • First we will create a image array using np.zeros()
  • Then all the rows and coloumns of the image will be filled with the BGR value of the color background
  • Then display the image using cv2.imshow()
  • Wait for keyboard button press using cv2.waitKey()
  • Exit window and destroy all windows using cv2.destroyAllWindows()

Example Code:

import cv2
import numpy as np
height=512
width=512
blank_image = np.zeros((height,width,3), np.uint8)

blank_image[:]=(0,124,255)

cv2.imshow('3 Channel Window', blank_image)

cv2.waitKey(0)
cv2.destroyAllWindows()

Output:

5cb3f07ce7bd5 Create a Color Background Image using OpenCV in Python
life2coding_icon [] Create a Color Background Image using OpenCV in Python

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