Great Explanation. I think in the 3Q in step f you multiplied the kernel with wrong filter.....it should be multiplied with 3 0 3 0 instead of 30 3 3 3
Thank you for bringing this to my notice Chiranjeevi Srinath. You are absolutely right. So now in the final answer, the output value would be 18 instead of 138.
Deserves more views and subscribers.. I am an mumbai university engineering student and i am completing my ipmv portion through these channel... First of all thank you soo much.. The way of ur explanation is just incredible.. And second please bring out more videos.. Which will help u to grow the channel
For the 2-D image,If the kernel is 2×2matrix with all ones then the answer is same for both convolution and correlation .. am i right? I will be happy if u respond🙂
Excellent video, Sis, I have a question: do we always add a border of zeroes even if the kernel size is smaller than the image and the image already has a border of zeroes? I have a kernel say: 1 2 3 3 2 1 2 1 3 And image say: 0 0 0 0 0 3 3 0 0 3 3 0 0 0 0 0 I have to calculate correlation with minimum zero padding needed, do I still add a border of zeroes in the image and then calculate as you showed? Please let me know, I'll be very grateful
Great Explanation. I think in the 3Q in step f you multiplied the kernel with wrong filter.....it should be multiplied with 3 0 3 0 instead of 30 3 3 3
Thank you for bringing this to my notice Chiranjeevi Srinath. You are absolutely right. So now in the final answer, the output value would be 18 instead of 138.
@@collegefriendly Yes ma'am.
Great video!
@@iNSane4224 Yes I am Also Confused Just ... But Got It.. By The way Nice Effort 🤘
Can anyone explain why its 3 0 3 0 instead of 30 3 3 3?
Wahiyat subject. Luckily I found this playlist.
My Hod take this class I can't learn single thing from her class.
But you absolutely done magic.
I understand the concept thankyou mam
The way you explain is amazing. So calmly, thank you so much.
Deserves more views and subscribers.. I am an mumbai university engineering student and i am completing my ipmv portion through these channel... First of all thank you soo much.. The way of ur explanation is just incredible.. And second please bring out more videos.. Which will help u to grow the channel
One of the Best Image processing Concept Channel For me . Thank you Miss. Lots of Love
Why is your voice so smoothing and pretty :3
0:55 - convolution linear
7:39 - correlation linear (for explanation, don't skip convolution)
9:20 - convolution 2D
correlation 2D - don't skip convolution 2D
Thanks,
in f step 18 instead of 138
she took the wrong kernal value right ?
yes, it is 18
Best video for this course.
perfect explanation, so calm and clear explanation
Thank u so much, u are a real Saviour😇
On the place of 138 there come the value is 18
Thank you Anushri didi lots of love ❤❤
mam your voice is beatiful , btw thank u for explanation
awesome explanation. i am glad i found this channel and playlist. thank you
You have a very sweet voice....
I think u did a mistake at 138 i think there comes 18
the step you did in F is it correct cuz the kernal is shifted and you added it in the same place ?!
I think the mask should be in odd number like 3x3 5x5.... so that can replace with the middle value as you done in 1D Convolution.
It is really a great explanantion. Thank You ❤❤
Shouldn’t the resulted image after the convolution is smaller than the output image? Why the input image is 2X2 and the final image is 3X3?
Or the resulted image is the same size at the input image. I didn’t get why the resulted image here is larger than the input image?
Thanks a trillion mam😊
i think one calculation mistake in 2d convolution, where 138 is written
I think you made a mistake in H step ( I have doubt about 138) how did you calculate 138? please check it.
mam f vale step m apne 30 ko 4 se kyo kar rahi ho 3ko 4 se then 0ko 3 se or 3 ko 2 se 0 ko 1 se multiply to 18 ayega am i right
Ma'am why output is 0 located at the center point. In (ii) step.?
How we perform cropped convolution output from the full convolution result....plz reply mam..tmrw is our exam
Nice explanation 👍
Self referential note: this video is important
Please correct the mistake in Step F, as it may create confusion
Thanks dear for all presenation ( But I think in step F you calculate wrong position)
3rd question in convulation the 'f' 's output is wrong
very good vedio
Is anyone knows how the 138 comes instead of 18??
is this playlist is completed for btech exam?
is step f in last problem wrong?
For the 2-D image,If the kernel is 2×2matrix with all ones then the answer is same for both convolution and correlation ..
am i right? I will be happy if u respond🙂
Yes, you are right!😊
@@collegefriendly tq so much for your kind reply 🙂🙂
here in step 6 karenel value which u took I think it was wrong valu that u took
Really loved that way of teaching everything is fully cleared.
Like and subscribed❤️
Keep it up😇
Thanks a lot!😊
Convolution is incomplete. Right?
you directly jumped to linear spatial filtering
very good video thankyou
Mam what is the answer of correlation
Thank you so much , i think there is a mistake on F) should be multiplied by 3 0 3 0 not 30 ,,, anyway it's very clear thanks again
Yes, you are right! So in the final answer, it would be 18 instead of 138.
@@collegefriendly thats what im thinking
Not 18 madam its 6 kindly calculate again
2D convolution is not correct. Input cannot change at every step
Yup exactly. This is completely wrong.
My savior on god
Spatial filter mai frequency ka kaha se aya usmai toh pixel pe kaam hota hai kch bhi padha rahi hai
Excellent video,
Sis, I have a question: do we always add a border of zeroes even if the kernel size is smaller than the image and the image already has a border of zeroes?
I have a kernel say:
1 2 3
3 2 1
2 1 3
And image say:
0 0 0 0
0 3 3 0
0 3 3 0
0 0 0 0
I have to calculate correlation with minimum zero padding needed, do I still add a border of zeroes in the image and then calculate as you showed?
Please let me know, I'll be very grateful
Mam ek dafa 3 by 3 convolution and correlation bhi krwa dien... kahin se nh smjh a rhi...
yes
Thanks
Welcome😊
V. good
Viewers are so selfish that view is in 2-3 k but subscriber below 500 ,if sunny leone post a video more then million subscribers in minute ,RIP world
😂😂
I think f value is wrong...It is not 138
Kindly check the previous comments.
I play your video nd your calming voice makes me sleep..zhhhhh focus focus on filters not on her voice.
step f wrong
kya pdha rahi dhng se padha ki samajh aye
why did we rotate the kernel by 180?