Ask Your Question
0

How to convert an RGB image to Boolean array?

asked 2019-08-12 07:38:16 -0500

SagRU gravatar image

Hello,

I'm totally new to OpenCV and NumPy. When I load an image using cv2.imread, I get a NumPy array with RGBs inside, so every pixel is described as [B G R]. I want to convert this array to boolean one, where every pixel is either black (0) or white (1).

Are there any built-in OpenCV functions for this task?

edit retag flag offensive close merge delete

1 answer

Sort by ยป oldest newest most voted
1

answered 2019-08-12 09:34:01 -0500

berak gravatar image
  1. load the image as grayscale,single channel intensity image, not as a color one:

    img = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)

  2. binarize it (the opencv way). you can use cv2.threshold , cv2.compare, or similar functions, resulting in an np.uint8 array, where each "on" pixel is 255, and each "off" one is 0.

  3. if you really need binary (True/False) values, you can use numpy operations, like: bin = img > 20 , just note, that those are unusable for further opencv processing (where [0..255] is expected)

edit flag offensive delete link more
Login/Signup to Answer

Question Tools

1 follower

Stats

Asked: 2019-08-12 07:38:16 -0500

Seen: 25 times

Last updated: Aug 12