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Why setting U and V channels to 0 leads to displaying a Blue picture?

asked 2015-03-11 04:49:56 -0500

begueradj gravatar image

updated 2015-03-11 05:11:28 -0500

What I did:

  • I read a BGR image and convert it to YUV color space.

  • Then I set its U and V channels to 0

  • I display the image and I see it is all blue (as if I set R and B to 0, instead)


  • Why setting U and V values to 0 leads the the G and R channels of the picture set to 0 also ?
  • Why the image is displayed in blue (BGR color space) instead of YUV color space ?


import cv2
import numpy as np


cv2.imshow('YUV',yuv_img) # Displayed image is YUV, that is ok

im=yuv_img # Copy the YUV image to an other one
for in in range(im.shape[0]):
    for j in range(im.shape[1]):
       im[i,j,1]=0 # Set U to 0
       im[i,j,2]=0 # Set V to 0
cv2.imshow('Result',im) # Displayed image is totally BLUE :(


yuv_img displayed like this (that is ok for me):

enter image description here

im displayed like this (I do not understand why it is blue):

enter image description here

Regards, from BEGUERADJ

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answered 2015-03-11 05:13:59 -0500

kbarni gravatar image

updated 2015-03-11 05:16:40 -0500

Because imshow displays the image az a BGR image.

In fact the im variable is a WxHx3 matrix, and OpenCV doesn't know if it's RGB, HSV, YUV or something else. so it considers that it's BGR. The fact that you set to 0 the second and third channels basically erases the green and red channels. That's why your image turned blue.

To display it correctly, you have to convert it back to BGR color space:


(add the cv2. before the expressions for python)

It should show correctly the grayscale image.

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come back to you again if I may: I did exactly what you said. By curiosity, I run print im[130,290,1] and I get a value other than 0 whereas I am supposed to get 0 since I set it to 0 previously. Why is this ?

begueradj gravatar imagebegueradj ( 2015-03-12 05:40:38 -0500 )edit

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Asked: 2015-03-11 04:49:56 -0500

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Last updated: Mar 11 '15