A Binarization Algorithm For Historical Arabic Manuscript Images Using A Neutrosophic Approach

Khalid M. Amin, Mohamed Abd Elfattah, Aboul Ella Hassanien, Gerald Schaefe
2014 Zenodo  
In this paper, an improved thresholding approach based on neutrosophic sets (NSs) and adaptive thresholding is proposed. This is applied to degraded historical documents imaging and its performance evaluated. The input RGB image is transformed into the NS domain, which is described using three subsets, namely the percentage of truth in a subset, the percentage of indeterminacy in a subset, and the percentage of falsity in a subset.
doi:10.5281/zenodo.34740 fatcat:45xrijx7abgtvpzdn7brzm4gg4