Convert Image into Matrix - Like a Pro!

Have you ever wondered how computers perceive raster images?
In this video, I will show you how to understand the math and structure behind digital pictures.
We'll learn all about pixels and the system of coordinates we use to select specific regions in an image.

We'll focus on 2 types of images:
1. Binary Image (Black & White)
2. Grayscale Image
3. Colorful RGB Image
And by the end of the video, you'll be able to convert all of these into matrices in no time!

00:00 intro
00:42 what is a pixel?
01:21 binary/black and white image conversion to a matrix
02:49 grayscale/monochromatic image conversion to a matrix
05:43 RGB image conversion to a matrix

#computervision, #image, #matrix, #pixel

[darcewirralgan]

I've been a graphic designer for years and never thought of RGB so deeply before! Thank you!

[AdamMundok]

You did a GREAT job explaining as a teacher. Keep up the great work and vids, and thanks for making and sharing!! 🙌🏼

[ChristopherOBrienPSU]

Wow, I love the way that you explain things in easy to understand concepts and language. Keep it up!

[darwinayrtonespejoquintana]

Great explanation !! I was a little confused at first, but now I understand this subject better.

[martinoolivieri]

Thanks a lot ! Clear and complete description. I have solved a important issue for my exam in Artificial Neuronal Network at Uni Trento - Italy.

[MicheleTorbak]

I like the explanation. Plus very useful. Thank you

[bolhasani]

Really informative and interesting. Many thanks for sharing your great knowledge and experience. It's admirable.

[rohithperumandla]

I've been searching for this explanation and finally found

[trippy]

Great tutorial! Now I understand everything!

[stemcell]

It worked, my brain got bigger but not where I wanted it to! XD Too disctracted by talent, too much talent!

[neelsamshah]

Great explanation and graphics! Thank you!

[hopolo]

thank you! this was very informative and pleasant to listen to.

[hazirahmuslim]

This is a detailed and good video! Thank you!

[SastaYoutubian]

I really like you and also the way of explaining

[VishalSingh-mije]

never seen anything better than this : )

[nikluz]

Not only well explained, but the presentation is excellent. What program do you use to make presentations like this? They’re so clean!

[mchess]

That's great. I think this is exactly what I was looking for even though I didn't realize that. Some time ago I was working on a project that was supposed to enable automatic straightening of scans (I don't know if this is the correct term 🤔). I used the Pillow library for this to be able to iterate through the pixels in the selected axis and find the points in which text appeared on the basis of the color of the pixels. After finding several points the program could calculate the angle by which the image should be rotated. The results were in fact quite good. But the whole process lasted long. And from time to time the program landed in the empty space between the lines of text and couldn't find any darker pixel and was falling into a loop.
I suppose that converting an image into a matrix and using numpy should be a much more effective and faster way.
I'm so excited. I can't wait to try it in practice.
Fantastic video. Thanks

[underlecht]

I know the theory but I love to see you explaining :)) also interesting that average of the three colors gives the greyscale :)

[JohanFasth]

Ok, she has a great brain, she can code, she can teach and she is a beauty. Why don't we have these girls in Sweden? Why???
Excellent explanation!

[AlexanderRodriguez-cursos]

Congratulations, Excelent explanation with good illustrations