"I hope this helps man!!" goes directly into my lazy soul hwo never studies until the night of the exam! Thanks dude, it helps a lot
@someoneelse7072 жыл бұрын
Same😂
@emirhandemir38728 ай бұрын
Dude! We gotta do something about it. You probably graduated or dropped school but I at least need to quit this stupid habit of mine!
@e3a877 ай бұрын
@@emirhandemir3872 Bro, no one can destroy iron but its own rust !! I don't know what is your goal and what are you going through but you need to realize one thing: You are the only one that can make this work and you are the only one that can f*ck it up You either control your mind or it controls you, you gotta choose... But yeah I graduated thinking that the struggle will end with the degree but guess what... it never ends! This phenomenon of laziness is a perpetual war. I hope this helps man!!
@wolfabod97157 ай бұрын
@@e3a87 my exam is in 8 hours i really hope it does !!
@riseabovehate94765 жыл бұрын
For convolution, you flip the mask horizontally as well as vertically and then computer the SOP. Since the mask, you have taken is symmetric Correlation and Convolution happen to be the same
@XXxlightmarex4 жыл бұрын
3:51 "one second, let me just do a cheeky line of coke real quick"
@triton62674 Жыл бұрын
Haha!
@feelsunbreeze7 ай бұрын
LMAOOOO
@tallurinani60599 ай бұрын
Bro, you are a savior. Thank you sooooo much. i didn't understand when i tried it fomr many websites and yt videos, yours just went straightly into the brain.. Thank you
@DumplingWarrior4 жыл бұрын
I like the fact that I'm actually learning something while laughing lol, great video! you're funny
@tempdrive23423 жыл бұрын
it was very useful put more videos
@etziowingeler31733 жыл бұрын
I like your laid back style Duderino, and it really helps
@alexmaingi9327 Жыл бұрын
Precise and understandable, Good job!!
@Noah_5xАй бұрын
What a Great Man! YOU DID AMAZING
@navigator1715 жыл бұрын
Finally somebody that did exactly what I need... Thanks man.
@navigator1715 жыл бұрын
Você deveria fazer mais videos como esse, salvaria outras vidas.
@gravinpatel7700 Жыл бұрын
Thank you for giving such a simple example and explanation
@highelojungler3 жыл бұрын
lmao all these videos all professional and ur calling me dude and man, love you. take this like
@AzarZeynalli-mp5zj8 ай бұрын
It helps more than you imagine. Thanks man:)
@eyadbereh Жыл бұрын
Bro, I'm having this for an exam tomorrow, and you just saved me from an M x N headache
@vagumanasa70443 жыл бұрын
Literally this helped me a lott...thnq soo soo muchhh...
@SirJonathonDanielGregorySrVthe3 жыл бұрын
You have no idea how fucking dull my lecturer is for this unit, this has helped a lot in avoiding something that probably would've been a half-hour explanation.
@ifargantech Жыл бұрын
This video is means alot to me. Thank you! Please make more videos on DIP
@freedom18804 жыл бұрын
Thank you.I am deeply thankful.
@minhanhpham2508 Жыл бұрын
You save me in my midterm exam, thanks a lot!
@youtubegiuhotoinhe6 ай бұрын
2024 and you are saving me sir! Thank you very much
@ajinzrathod4 жыл бұрын
I was laughing at 3:56. Really appreciate your efforts. Thanks
@avaneeshchavan88213 жыл бұрын
Thanks, man i wasn't able to understand this in my school and now I understood it in 5 mins
@osamamirza42202 жыл бұрын
Thanks man!! this helped me a lot
@ajanthaalakkshmanan58543 жыл бұрын
Awesome explanation
@Arnankhan2 жыл бұрын
Thank you! Very good tutorial.
@EnglishRain2 жыл бұрын
This is so excellent thank you so so much
@LKRaja007 Жыл бұрын
Useful . Do some more videos
@fase293 жыл бұрын
thank you very much!
@adl302 жыл бұрын
You saved me from reading big book of convolution theory. Respect bro.
@briciomattosdeoliveira5 жыл бұрын
Wow, dude! That was a great explanation. I precisely understood the details of this process. I will apply that to all sorts of areas in my life. You rock, Dãmáiou!
@ghufrongalih83542 жыл бұрын
really help me man, thx have a good day always
@abdelhafidbenchikh44262 жыл бұрын
Very useful, thanks so much
@StrangeParticl2 жыл бұрын
Thank you for the simple explanation of the convolution process. You did like it is a simple adding number to each other ... That is grat, Sir. Thank you so much agine
@zohaibkhanjadoon1255Ай бұрын
Tomorrow is my exam and this was what i needed and it helps alot thanks man
@ashutoshmaurya97263 жыл бұрын
Thanks for such a nice explanation .
@張哲銘-k5v4 жыл бұрын
Good job man!!! It's useful.
@ancient_living5 жыл бұрын
Great work explaining that the size of the convolved image is decreased in dimensions. Keep up the good work.
@OmarAhmed-tk1ow Жыл бұрын
Great explanation
@Megan-gl7pi3 жыл бұрын
Thanks for explaining this super simply and quickly.
@drchastr208 Жыл бұрын
great video man
@JoeDhirk4 жыл бұрын
Thank you.
@kuqiu50035 жыл бұрын
Very clear interpretation. Thanks a million!
@mohammadalifffirdausmohamm8125 Жыл бұрын
i love this video very good
@notben49 Жыл бұрын
why are you black
@AR-scorp4 жыл бұрын
Helped a lot. Thank you.
@glebignites52783 жыл бұрын
Great explanation! Thank you very much.
@hieutran50995 жыл бұрын
Thank you for the very clear and precise answer.
@pawanyendigeri31574 жыл бұрын
Nice video
@farhamrezqimaarifm85374 жыл бұрын
thanks dude its help a lot
@abhijithbs9974 жыл бұрын
cool stuff dude..... Thanks a lot
@Agreedtodisagree3 жыл бұрын
Thanks.
@maheshbhosale18383 жыл бұрын
this is not what convolution is, you need to flip the kernel first. This is a correlation.
@theghost75374 күн бұрын
He technically flipped it by multiplying lines of each matrice
@RaunakPinakJoshi2 жыл бұрын
Thanks man! Really helpful.
@himanishmishra54903 ай бұрын
thanks brother tomorrow is my exam and I just forgot the topic it really helped
@juyeon_kim Жыл бұрын
i think its correlation but thank you a lot. you helped me understand
@mattkan28764 жыл бұрын
Sir, your tutorial is nice in contents, but its better for you to buy a fixed frame to hold your mobile phone recorder
@Sean-ow7qb4 жыл бұрын
amazing!
@wqkkta87874 жыл бұрын
This helped me so much! Thank you!!!
@arash4232 Жыл бұрын
Hi, So what? Should we normalise the calculated values? What colour does 514 refers to?
@crazyvideos64746 жыл бұрын
Great explanation but I think you are wrong. You are doing a correlation not a convolution
@alexandredamiao13656 жыл бұрын
Hi, thank you for the polite criticism. However, the operations I gave in the video are indeed used in convolution of images. Take a look at the explanations given in these links: web.pdx.edu/~jduh/courses/Archive/geog481w07/Students/Ludwig_ImageConvolution.pdf, machinelearninguru.com/computer_vision/basics/convolution/image_convolution_1.html, docs.gimp.org/en/plug-in-convmatrix.html
@turbasdd6 жыл бұрын
Well, the thing is that this kernel you used as example is symmetric, because of that when you flip it horizontally and vertically (before the convolution) you get the exactly same kernel... Therefore, the way it is explained it works, but because the kernel is symmetric... and then it seems like a correlation as the other fellow mentioned. You can see this in here machinelearninguru.com/computer_vision/basics/convolution/image_convolution_1.html And you can also read about on chapter 3 of the book: "Digital Image Processing" by Rafael C. Gonzalez and Richard E. Woods (www.amazon.com/Digital-Image-Processing-Rafael-Gonzalez/dp/0133356728)
@ashavarghese84586 жыл бұрын
Thanks
@juaneugeniodebenedettti61874 жыл бұрын
@@turbasdd touche
@rionacko7484 жыл бұрын
@@turbasdd That link no longer working :(
@rahulkambale26272 жыл бұрын
Great
@syedmhamudulhasanakash16752 жыл бұрын
Best explanation ever man!
@danusd18119 ай бұрын
Thanks a lot bro
@Serinebey1310 ай бұрын
Thank you bro
@shwetabhsingh54374 жыл бұрын
for sure bro, thanks
@ashvinisharma81783 жыл бұрын
Thank You dude
@markpx5 жыл бұрын
Since the convolution result produces numbers higher than 255, it no longer can be treated like an image?
@chanhungnguyen3089 Жыл бұрын
I saw in many documents they say the multiplication between the kernel and each patch of the image matrix is a dot product. Can you explain it?
@anvithahm7763 жыл бұрын
Then give a C program to this question Prepare a matrix using dynamic memory allocation of size 7x7 with random characters. Check for valid English words by convovling a 1x3 kernel mask over the matrix
@childhoodgames17124 жыл бұрын
Thank you , but the SUM of the results of the applied filter should be at the center pixel of the filter so, 649 is at the centered pixel
@vloggetts4 жыл бұрын
I was thinking this same thing. It's the 32 that should be replaced by 649 after convolution, right? And to find the values of pixels closer to the edge after convolution, the kernel must be centred on these edge pixels and some kind of boundary strategy must be employed(eg. zero padding, wrap etc.)
@ajanthaalakkshmanan58543 жыл бұрын
Plz explain red deer optimization
@kwekureginaldwade4 жыл бұрын
Great explanation !!!
@imranwahid98713 жыл бұрын
Thanks a lot brother. It helped.
@tymothylim65503 жыл бұрын
Thank you very much for this video, Alexandre! It was a really simple and easy-to-understand video :)
@tawheedalabed64475 жыл бұрын
many thanks realy it is very good
@waytoprogramming4 жыл бұрын
Well done.
@jyothish994 жыл бұрын
Great explanation dude !!
@philipp8494 жыл бұрын
I cannot thank you enough. You saved my butt.
@manjukarthik95986 жыл бұрын
I think what you have shown is incorrect, coz using the sliding window concept you would calculate the value of the pixel that corresponds to the middle value ( say in a 3 X 3 kernel the value at 1,1)of your kernel and not the first value as explained. Also you need to divide it by the total (sum) of your kernel values(in your case its 4 that is 649/4 giving you the value 162.25 for the value in the original image at 32).
@BrandonLobo5 жыл бұрын
Thanks. I'm not looking at images, but still needed convolution and I had a feeling it needed to be dived by some value, else it makes no sense.
@ubaidurrehman43775 жыл бұрын
great, there was a mistake
@vloggetts4 жыл бұрын
I agree that he should have replaced the middle value but I think dividing by the kernel sum is only for a weighted arithmetic mean filter whereas this is just a genera; convolution
@JimmyJohnston3rd7 ай бұрын
I will confirm that yes you are correct. The resulting value is the middle. For a 3x3 kernel like this we would add a top row, bottom row, initial column and last column of 0's to address the borders of an image or just ignore the borders all together. The end result should be a matrix of the same size for image processing at least.
@amartinezsilberstein4 жыл бұрын
chu tweny chu
@metinyorgun19636 жыл бұрын
You should scale pixel value because its cannot be greater than 255.
@rionacko7484 жыл бұрын
I love you man
@jcgonzalez91226 жыл бұрын
dude this was awesome lol.
@alihan606 жыл бұрын
Clear explanation! This is what i need! Thanks man you save the day!
@ann61320 Жыл бұрын
terrible camerawork but solid explanation xD thanks bro!
@vibithas87 Жыл бұрын
What is the purpose of the number we are putting inside the box
@meirzilkha4 жыл бұрын
Thanks! This is great.
@sumeshkumar99405 жыл бұрын
good!!!
@gaoqiangzhou99602 жыл бұрын
life saver!
@Isa25monalisa5 жыл бұрын
THANK YOU!!! You helped me SO MUCH!!! Such an excellent explanation!
@I34R3 жыл бұрын
how do you do it with circular indexing?
@zephjaz9476 жыл бұрын
Thank you for the precise explanation
@renasouza82616 жыл бұрын
Very good vídeo mano
@shoruqm97534 жыл бұрын
You saved my life man
@arturkot41083 жыл бұрын
Thanks, man!
@saadthabit45634 жыл бұрын
thanks
@MattoUchiha6 жыл бұрын
Thank you so much this made it seem so simple lol
@chvrleshd6 жыл бұрын
please how do you convolve and wrap around image cyclically??!
@abdussami29988 ай бұрын
This one was good
@coccosapiens6 жыл бұрын
a pixel greater than 255??
@ubaidurrehman43775 жыл бұрын
I guess, he didn't divide by the sum of filter matrix i.e (649/4) = 162.25
@MrRobi104 жыл бұрын
Hello, I have an 11×11 image having in its center a 5×5 square, the image it's noiseless and I don't know how to compute the gradient of the image function given by the compass operator for this image. If I remember correctly, I should use a derivative, but I don't know exactly what and how can I use it. Can you please help me?