Nobody could have explained it better !! Such a clear, simplistic yet robust video. Keep up with this fantastic work !
@ZEISS_arivis2 жыл бұрын
Thank you :)
@JoRoCaRa2 жыл бұрын
thanks! working on my thesis. you got yourself a subscriber! simple, to the point, well explained
@ZEISS_arivis2 жыл бұрын
Thanks for the sub!
@mamoon723 жыл бұрын
i wish you were my teacher i would have been a scientist today really loved the way you make things not just theory but something which is learned to be applied
@ZEISS_arivis3 жыл бұрын
Thanks for the comment. I hope you are learning from these videos.
@deepeshmehta61073 жыл бұрын
Your content is just awesome!! Gr8 explanation! Covering math, code and theory all in one complete package.
@ZEISS_arivis3 жыл бұрын
Glad you like them!
@RakeshKumar-kd1jh3 жыл бұрын
Thanks for explaining this concept in easiest way. Thanks a lot.
@ZEISS_arivis3 жыл бұрын
Most welcome!
@lngl2786 Жыл бұрын
Finally got meaningful video. Thanks
@KirillKulikovIkarus4 жыл бұрын
This was amazing! Very well explained! Thank you!
@ZEISS_arivis3 жыл бұрын
Glad it was helpful!
@saigaak3 жыл бұрын
Thank you very much!!! You really helped me understand this. Thanks for great tutorial!!
@ausialfrai33354 жыл бұрын
Thank you Sreeni, yes I am very excited about Gabor filter and waiting for the next video :)
@ZEISS_arivis4 жыл бұрын
Next video about Gabor is ready :) Very soon you will see videos about using Gabor and other filters for image segmentation. Stay tuned!
@irishRocker13 жыл бұрын
Really good tutorials, explained very nicely. I am definitely interested in learning more about the machine learning aspect of this. I am an electronic engineer for 10yrs but new to ML I was planning to do a project where some image processing and possibly machine learning would be used to improve results. It seems like this might suit. I had heard about a Joint bilateral filter that removes noise but preserves edges. Lot of research to do still!
@cedricvumisa74164 жыл бұрын
thank you very much sir! good work
@ZEISS_arivis4 жыл бұрын
Most welcome!
@johnmosh47724 ай бұрын
nice explanation
@tahirarshad58012 жыл бұрын
Hello hope you doing well. I am working on one project image classification through vision Transformer. I have question related Gabor Filter. when we apply 3D Gabor filter on image is there any gabor weights like(Gaussion Initialization weights) Generate or Not? If it is weights generate so how we can use this weights? Mean to say I want to use 3D Gabor filter weights to initialize hidden layer not with Gaussion initialize weights. Thanks
@clcx69382 жыл бұрын
thanks for your video
@tilkesh2 жыл бұрын
Thank you very much
@lksmac15953 жыл бұрын
Very good knowledge!
@ZEISS_arivis3 жыл бұрын
Glad it was helpful!
@chenzakaim33 жыл бұрын
amazing! thanks for the video
@dr-anitag.khandizod95983 жыл бұрын
very nice explanation .....Thank you sir
@ZEISS_arivis3 жыл бұрын
Keep watching
@epampoefmkfkefpeao42914 жыл бұрын
I was looking into how fingerprint scanners work today, and found many articles saying that the scanners use gabor filter for better image. Spent like the whole day looking what a gabor filter is... Was initially hoping for some program with UI... nope. Tried to run the python code. Didnt work either. So i ended up downloading some matlab app for applying gabor filter. A question arose after i did that, if the fingerprint scanners do actually use the gabor filter, do they apply it to small portions of the fingerprint at different angles, and then combine the whole image piece by piece ?
@ZEISS_arivis4 жыл бұрын
I am sorry, I do not know how fingerprint scanners work. They may use gabor as this is a great filter to quantify texture.
@sayandey14783 жыл бұрын
Very coherent, thanks
@ZEISS_arivis3 жыл бұрын
Glad it was helpful!
@robotcactus_mk18822 жыл бұрын
Where is the video that goes over gabor filter selection?
@ZEISS_arivis2 жыл бұрын
kzbin.info/www/bejne/r6jcoKCFrr2jrsk
@godexolrv49064 жыл бұрын
nice explanation sir
@ZEISS_arivis4 жыл бұрын
Keep watching
@sohailali57414 жыл бұрын
Thanks for great tutorial. I have road surface image in which I want to detect crack, but color of crack and pavement is almost similar and hard to distinguish. Can you please please let me know that will gabor filter help to enhance image? Particularly, can it help to differentiate crack and normal pavement? Your response will be highly appreciate. Thank you.
@ZEISS_arivis4 жыл бұрын
I sure think so as crack is probably not as wide as the pavement. By applying Gabor filters of varying gamma you may find the right setting appropriate for crack detection. You just need to try.
@ahmadirtisam95932 жыл бұрын
Can we detect any Object using this Algorithm ?
@ZEISS_arivis2 жыл бұрын
Gabor helps in extracting features. You need to use these features as input to a machine learning algorithm for object detection.
@YousefRoshdy3 жыл бұрын
Amazing, thank you so much Could please advise which mathematics course good for machinelearninig?
@ZEISS_arivis3 жыл бұрын
You probably need statistics if you are interested in becoming a better data scientist. Just search for 'statistics for data scientist' on amazon and pick the book with maximum positive reviews. You may even find useful videos on KZbin, in case you learn via videos.
@ilunasaa37404 жыл бұрын
what is ktype ?
@ZEISS_arivis4 жыл бұрын
ktype refers to the data format type for the kernel. In this example I used cv2.CV_32F which refers to float32.
@clcx69382 жыл бұрын
thanks for your great video.I find another formula for 2D gabor filter here inc.ucsd.edu/mplab/75/media//gabor.pdf, I'm confused that does the formula in video equivalent to the formula(30) in the doc? and how does they transform to each other?