First Order Derivative Filters - Roberts, Sobel and Prewitt 

You are a god ma'am...Tomorrow I've my DIP exm and thanks to your playlist I've understood all the problems well....Great work ma'am...

You are a gem mam..cant describe your work in words..thanks for your effort. You surely deserve lot more subscribers

Alhamdulillah, you explained everything so simply! I have an exam on this tomorrow and this is helping a lot!

can you please tell why pixel (1,1) is not the first 50 @top left corner??? is the replication padded is already done?

maam your lectures are amazing and very very helpful, i am so much thankful to u, u are the best teacher.

Thankyou for this playlist ma'am . It is helping me a lot for the academics purpose

Ty for the easy to understand explanation, wasn't taught about these filters and could not understand how it worked when it was mentioned in a paper.

شكرا جزيلا على كل فيديوهاتكم، المادة نفسها و الشرح بسيط يفهم.

We only consider the X positions (horizontal )right do not calculate for the y(verticle). I consider like that because the filter you used actually the convolution of the original types for X. I hope I could explain myself

Aren't we required to use both horizontal and vertical edge detection operators so that we're able to find gx as well as gy to compute the gradient?

just watched till this video for my mid sem. got the same question od distances in exam aced it thanku

I can't focus on the topic while listening to such a beautiful voice. do we have any other option left?

Thnak you for sharing

you just took my breath away Could you pass on to your parents that they did an awesome job ????

Thankyou so much from the land of mountains, Nepal

Thank you for this!

Amazing examination nd vioce also✨

Nice video but why using only horizontal edge gradient?, answer should be combining both gradient. this way you only detect one directional edge. G= |Gx| + |Gy| or u can take its Euclidian form with sq roots and sq.

Nice video and example!

Really nice! Looking forward to more such amazing videos🙌

Thank you, this is useful

What about zero padding???? In case sobel and prewit. Like when we are calculating magnitude of gradient of given input image using sobel or prewit???

Great explanation!! Thanks a lot

Thanks help me amazing! congrats from portugal

If he gives me an image ( numbers) and ask me to generate gradient image how I will do it?

Thanks, it helped a lot

you didnt mention anything about gradient and magnitude.

you are the best

Thank you very much dear, the explanation is very clear and simple

wounderfull session maam

If pixel is not given then what we have to do

On a serious note this is really good, but need more help Apart from this can you explain what is edge linking and boundary detection???

Can you make a Video on Point, Line and Edge Detection pleaseee

Thank you soooo much

Thanks for this video. Please if after this operation the result is inferior to zero, what should we do ? Put 0 as the answer ?

mam, why are you not rotating the mask vertically and horizontally for convolution before multiplication?

Sound is very high, please make video with low sound

Thank you mam

Thank u mam ❤️

Is there a normalization involved in sobel operator or not?

This all algorithms help to smooth the noise in the image right?

kindly clearify are these set of steps for edge detection??

Txns

Cool voice mam

Do you use the (Roberts) filter once over the matrix (in the topleft corner), or do you use that another 3 times to get all the numbers in the matrix?

Very nice lecture, if any doubt where I can ask??

When we have to do pixel replucation or zero padding and when to apply directly? Is it necessary to do zero padding/pixel replication before applying any filter? Please help me mam

thank you , what about the drive of Roberts filter ?

madam thoda jor se bola karo sunai ni dera

I WENT TO PDF TO ANSWER

You didn't apply the full operation, just the Gy component. This video is misleading. Thumbs down.

Pen of steel 🦸

Thoda bolke padhaya kro

Not audible 👎

Hello Anushree, Please continue your channel again because the way of explanation of yours is far better than my college teachers. And your voice is amazing. Please share your social media handle i.e. LinkedIn, so that I mentioned you and give you a shoutout. Hope you have a very bright future.