Preprocess images before feature detection? [closed]

asked 2016-06-15 03:41:44 -0500

ManuKaracho gravatar image

Hi! My goal is to find known logos in static image and videos. I want to achieve that by using feature detecton with KAZE or AKAZE and RanSac.

I am aiming for a similar result to:

While experimenting with the detection example from the docs which is great btw, i was facing several issues:

  • Object resolution: Differences in size between the known object and the resolution of the scene where the object should be located sometimes breaks the detection algorithm - the object won't be recognized in images with a low resolution although the image quality is still allright for a human eye.
  • Color contrast with the background: It seems, that the detection can easily be distracted by different background contrasts (eg: object is logo black on white background, logo in scene is white on black background). How can I make the detection more robust against different luminations and background contrasts?
  • Preprocessing: Should there be done any kind of preprocessing of the object / scene? For example enlarge the scene up to a specific size?

Is there any guideline how to approach the feature detection in several steps to get the best results?

Thanks a lot for your help! best, Manu

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Closed for the following reason question is not relevant or outdated by sturkmen
close date 2020-10-08 07:10:35.639762


Hi! Would be really cool if some experts could step in here on that topic :)

ManuKaracho gravatar imageManuKaracho ( 2016-06-18 02:37:56 -0500 )edit

Anybody? :(

ManuKaracho gravatar imageManuKaracho ( 2016-07-18 07:51:40 -0500 )edit