How Circle Hough Transform works

In this video I explain how Circle Hough Transform works, by creating an accumulator for every edge detected (using Canny algorithm) in the original image. The accumulator corresponds always to a specific radius size, therefore it only works for circles with this size. For new radius, a new accumulator should be computed. The algorithm was based on the Wikipedia (en.wikipedia.org/wiki/Circle_...) adapted for a single radius, because in the original algorithm, all radius are computed.
The source code used to create the animations is available at github.com/tkorting/youtube/t...
The slides are available at prezi.com/mol2d1rmbpwi/?...
Download free remote sensing images at www.dgi.inpe.br/catalogo
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[@smoothoctopus]

the animation in this and the previous videos are what makes the explanation gold. Finally seeing how the algorithm is applied live really ingrains the idea. nice work!

[@McZockerbock3301]

i love how you showed visually how the algorithm works! that helped so much - great work, thanks

[@tkorting]

Thanks for the feedback, please subscribe to my channel

[@ImolaS3]

Thanks for a really clear video of the circular hough with nice animations

[@tkorting]

Many thanks for your feedback Please subscribe to my channel Regards

[@AbelBlog]

Great tutorial. Saved me lots of reading time.

[@thiagomarchesan9412]

Thanks a lot for making this material public. It's very clarifying.

[@tkorting]

Thanks for your feedback Please subscribe to my channel Regards

[@joerakhimov]

This is the best tutorial that I watched in my lifetime! Amazing!

[@xiaoshi_wang]

That accumulator animation ist so good. Thank you!

[@carlosgironda1347]

Thank you Thales, this is a very beautiful explanation.

[@nicolassuarez9702]

Great video! I was looking for something like this, thank you.

[@markusrose3940]

Beautiful visualization. Thank you for the great explanation!

[@tkorting]

Thanks for the feedback, please subscribe to my channel

[@mahmutsare1817]

Thanks a lot! This animation is really helpful for learning how the algorithm works.

[@abarrachina]

The elliptic algorithm would be nice as well

[@CallMeSwal]

Animation does great job of explaining concept, thanks boss!

[@farseenabdulsalam6246]

Well explained. Thanks from India :)

[@GG64du02]

I was looking for something similar to the image you processed as an example but this might be not the solution but it gave me a simpler idea

[@hoanglong4911]

wow the visualization is so damn cool. thank you!

[@tomhas4442]

Perfect explanation and good animations!

[@tkorting]

Thanks for the feedback, please subscribe to my channel

[@mathisart]

What a brilliant tutorial.

[@amey97]

Thank You!

[@adrianorcampos]

Bem legal o vídeo, professor! Mt obrigado!!!

[@tkorting]

Muito obrigado pelo comentário! Inscreva-se no canal ;)

[@algolancer]

Notes that mathimatically we can find the center and R of a circle from 3 points of its circumference. I am working in this edia(seems need less time)

[@parthpatel8532]

Thank you very much. I will 99% have this problem in a Augmented Reality job interview tomorrow, and your video helps me understand the question so much. Hopefully I get the job

[@tkorting]

Good luck. I hope you get the job, and subscribe to my channel as well. Regards

[@Frederico710]

Great!!

[@abbadullahhsaleh2679]

Thanks

[@opelcorsa2450]

Hello, nive video and thanks a lot. How can I add speed limit signs detection when a circle is detected? thanks in advance

[@DEEPAKKUMAR-sw6sb]

great video!

[@tkorting]

Thanks for the feedback, please subscribe to my channel

[@s04Ker]

Do u have any references method for detecting circle?

[@madhurabhalerao7894]

Thanks for making the concept easier. Can this algorithm be directly used to detect circles/ wells on a satellite image?

[@tkorting]

Thanks for the feedback, please subscribe to my channel Yes (and no as well). We have been trying to make this, but sometimes the neighborhood of the circles (and also the interior) provide interference to the circles, and the detection is not accurate. Regards

[@AppleJuicePacks]

that's so freaking cool

[@tkorting]

Thanks for the feedback, please subscribe to my channel

[@omnificatorg4426]

Can it be solved in a more elegant way? I think we actually don't need to draw a whole circle for every point of the edge, and we don't even need an edge detection filter. Instead of that, we may differentiate the input image to get an array of gradient vectors and fill the accumulator with points according to the vectors' directions (or small arcs, since their angles may be somewhat inaccurate).

[@joskejoske5]

Getting the gradient vectors and edge detection are more or less the same thing. But yes, you can just let the Hough transform 'vote' in the direction of the gradient vectors and the center will light up as well if you choose the correct radius. (no need to draw the whole circle as you said)

[@breakdancerQ]

Damn good, even for a noob like me

[@tkorting]

Thanks for the feedback, please subscribe to my channel

[@kranthikumar4674]

hello sir, it was an amazing video thankz for posting. Sir in case if don't know the specified radius can circular hough transform work and explain this with a video and also explain daugman's rubber sheet model normalization process.

[@tkorting]

Thanks for the question, please subscribe to my channel Some implementations for this perform several hough transforms with different radius, in this case creating not only circles, but cones. Regards

[@Abcdefg-ik7kz]

hello my cs4243 comrades. eNd Of StOrY