Ask Your Question

Different ways to detect LED Screen from the image.

asked 2020-09-19 04:08:19 -0500

ayush._.saini gravatar image

updated 2020-09-19 07:33:52 -0500


I want to extract the LED screen from the image above. Some approaches that I have tried include:
1. I first converted the image to HSV and made a trackbar GUI through which I noted at what value of HSV our mask filters out our ROI.
2. using canny edge detection, contours extraction, and selecting the contour with 4 vertices and area greater than 100

Both of the solutions do work.

The problem with the first approach is that it only works on a pinkish screen. While the second approach is more generic, but both approaches need a lot of fine-tuning to get the required result.

My question is that if there's any other more generalised approach that I can try which require less tuning of parameters ?

edit retag flag offensive close merge delete

1 answer

Sort by ยป oldest newest most voted

answered 2020-09-19 16:54:03 -0500

kpachinger gravatar image
  1. photonic sensor
  2. digital out
  3. OCR
  4. mount the camera
edit flag offensive delete link more
Login/Signup to Answer

Question Tools

1 follower


Asked: 2020-09-19 04:08:19 -0500

Seen: 51 times

Last updated: Sep 19