Комментарии:
Precise and understandable, Good job!!
Ответитьterrible camerawork but solid explanation xD thanks bro!
Ответитьcan you not talk like a gangbanger
ОтветитьYou save me in my midterm exam, thanks a lot!
ОтветитьHi,
So what?
Should we normalise the calculated values? What colour does 514 refers to?
i love this video very good
Ответитьhi
Ответитьi love you please have my children
Ответитьhi
Ответитьhi
Ответить😍
ОтветитьBro, I'm having this for an exam tomorrow, and you just saved me from an M x N headache
ОтветитьI 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?
ОтветитьGreat explanation
Ответитьi think its correlation but thank you a lot. you helped me understand
ОтветитьI love you man
Ответитьit helps man
Ответитьgreat video man
ОтветитьWhat is the purpose of the number we are putting inside the box
ОтветитьThis video is means alot to me. Thank you! Please make more videos on DIP
ОтветитьUseful . Do some more videos
ОтветитьWhat if it's RGB?
ОтветитьI think this is cross correlation
ОтветитьThank you! Very good tutorial.
ОтветитьThanks man! Really helpful.
Ответитьlife saver!
ОтветитьVery useful, thanks so much
ОтветитьYou saved me from reading big book of convolution theory. Respect bro.
Ответитьyeaah bro that helped
ОтветитьThank 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
IT DID HELP MAAAN
ОтветитьGreat
ОтветитьI'm working on an example similar to this, when using the kernal on the image matrix I got an output of -2 (some of the values in the kernal were negative), I'm not sure if you can get a negative value for the output but what would that mean for the image matrix if, when convoluted, a pixel becomes a negative value?
ОтветитьBest explanation ever man!
ОтветитьThanks man!! this helped me a lot <3
ОтветитьThis is so excellent thank you so so much
Ответитьreally help me man, thx
have a good day always
Thanks for explaining this super simply and quickly.
Ответитьactually its not really correct. you need to first flipped it horizontally and vertically
Ответитьthis is not what convolution is, you need to flip the kernel first.
This is a correlation.
Omgg thanx
ОтветитьThanks, man i wasn't able to understand this in my school and now I understood it in 5 mins
ОтветитьThen 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
Thanks for such a nice explanation .
ОтветитьYou 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.
Ответитьis okay
Ответитьhow do you do it with circular indexing?
ОтветитьGreat explanation! Thank you very much.
Ответить