I have converted 3 channel RGB image into 2 channels grayscale image, How to decrease greyscale channels to 1?

Question

I have Converted 3 Channel RGB image into 2 channel grayscale image using :

from PIL import Image
import glob
images = glob.glob('C:/Users/.../*.jpg')
for i in range(len(images)):
    img = Image.open(images[i]).convert('LA')
    img = img.resize((224,224),Image.ANTIALIAS)
    img.save('C:/Users/.../0_{}.png'.format(i))

My Goal was to create 1 channel grayscale but after doing code above, i found out that results are 2 channels images ! is there any way that i can decrease this channels to 1 as if i converted them from 3 to 1 at first place ? Thanks.

You call `Image.open(images[i]).convert('LA')`. What's the `'LA'` parameter? I don't see it as a valid mode in the [documentation](https://pillow.readthedocs.io/en/4.2.x/handbook/concepts.html#concept-modes). — Calvin Godfrey, Jun 10 '19 at 18:19

score 4 · Accepted Answer · answered Jun 10 '19 at 18:28

4

Calling convert with LA gives it two channels, L, which is luminosity, and A, which is alpha (transparency). So if you do Image.open(images[i]).convert('L') there will only be one channel in the resulting image.

answered Jun 10 '19 at 18:28

Calvin Godfrey

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Best explanation ever.Thanks. – Saeid Mohammadi Nejati Jun 10 '19 at 19:12
1

Glad to hear it! If my answer helped you, it's encouraged to mark it as accepted and give it an upvote. – Calvin Godfrey Jun 10 '19 at 19:13
My reputation is not high , but i did Upvote. Thanks again. – Saeid Mohammadi Nejati Jun 10 '19 at 19:16

I have converted 3 channel RGB image into 2 channels grayscale image, How to decrease greyscale channels to 1?

1 Answers1