Fuzzy knowledge based enhanced matting
Charles Z. Liu, Manolya Kavakli · 2016
The goal of this paper is to address how to use human experience to develop an enhanced matting strategy. Based on a recursive α optimization framework, we present an adaptive fuzzy learning strategy for enhancement of matting. Taking into account the uncertainty of data, the proposed scheme successfully applies the expert human knowledge into matting. Experimental results are given to demonstrate the effect of the proposed method compared to some classical methods. The results indicate that the proposed adaptive learning algorithm handles uncertain pixels and perform stable matting.