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Normalice illumination variable in a color image (real-time tracking C++)

Hi community c: I'm doing my final university test and i'm trying to track color objects in real time, specifically blue (i'm noob in opencv). I achieved this but when i change of environment, and light obviously changes, the program doesn't track the object anymore. I investigate about it and i found a lot of information about histogram equalization and normalization by gamma and Gaussian Blur correction, but i didn't get the results that i expected, and to be honest i didn't get it like as i would have like, and also i'm not sure if that methods work in color images...

Doing a summary of the code that i use, i convert RGB to HSV and then threshold the frames captured to find a specific color with a specific interval. Then apply the track code that find the white pixels.

So my question is, how can I eliminate the illumination variable to detect a blue object in differents environments?

I'll appreciate a lot if you could guide me with this, i'm doing my best. thanks :)

Normalice illumination variable in a color image (real-time tracking C++)

Hi community c: I'm doing my final university test and i'm trying to track color objects in real time, specifically blue (i'm noob in opencv). I achieved this but when i change of environment, and light obviously changes, the program doesn't track the object anymore. anymore or just track a part of it that had a similar color of the first environment. I investigate about it and i found a lot of information about histogram equalization and normalization by gamma and Gaussian Blur correction, but i didn't get the results that i expected, and to be honest i didn't get it like as i would have like, and also i'm not sure if that methods work in color images...

Doing a summary of the code that i use, i convert RGB to HSV and then threshold the frames captured to find a specific color with a specific interval. Then apply the track code that find the white pixels.

So my question is, how can I eliminate the illumination variable to detect a blue object in differents environments?

I'll appreciate a lot if you could guide me with this, i'm doing my best. thanks :)

Normalice Normalize illumination variable in a color image (real-time tracking C++)

Hi community c: I'm doing my final university test and i'm trying to track color objects in real time, specifically blue (i'm noob in opencv). I achieved this but when i change of environment, and light obviously changes, the program doesn't track the object anymore or just track a part of it that had a similar color of the first environment. I investigate about it and i found a lot of information about histogram equalization and normalization by gamma and Gaussian Blur correction, but i didn't get the results that i expected, and to be honest i didn't get it like as i would have like, and also i'm not sure if that methods work in color images...

Doing a summary of the code that i use, i convert RGB to HSV and then threshold the frames captured to find a specific color with a specific interval. Then apply the track code that find the white pixels.

So my question is, how can I eliminate the illumination variable to detect a blue object in differents environments?

I'll appreciate a lot if you could guide me with this, i'm doing my best. thanks :)