Spectral matting is a method permits the segmentation of the foreground taking into consideration all the details of it.
Hi Adam,
Go through these articles on different techniques used to improve the accuracy of both video and image segementation.
https://arxiv.org/pdf/1605.00732
www.mirlab.org/conference_papers/International_Conference/.../0001165.pdf
juew.org/publication/mattingSurvey.pdf
Best!
Will try Adam from algorithm perspective : There are developments in the field of :
https://cvfxbook.com/useful-code/
It probably works with more than 2 techniques eg- Alpha /graph based / other ML algos
http://vixra.org/pdf/1308.0085v1.pdf
Funny thing Adam , most of the algorithms are "multi-modal" per se ...
e.g: SV clustering and graph based links .
Thank you @Aparna Sathya Murthy. I appreciate your help.
Indeed, May you reas my artcile is spectral matting and give me what you think about ?
Best Regards,
Article Gradient Color Tensor based Approach for Spectral Matting
Remarks Adam , it is well thought thru work ...
I specifically like the "small windowing" idea. The tensor space analysis (GAMP metrics) for color discontinuity.
The color model is for one specific color space ? I mean as you have mentioned RGB !
How have you based, delta and gamma (just inquisitive )
I have used Fuzzy-C means , there also we claim "empirical" , here it is # based unlike your case which should be color metric ??
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