Refined Neutrosophic Set in Image Processing

Scilogs, V: joining the dots

Refined Neutrosophic Set in Image Processing

To Abdolreza Rashno I saw that you use the general definition of neutrosophic set, i.e. when T, I, F are subsets of [0, 1]. If this definition might be difficult to use, you can consider: 1) either the simplest case when T, I, F are just single numbers in [0, 1]; it is called Single-Valued

Neutrosophic Set (SVNS); 2) or T, I, F may be intervals in [0, 1], which is called

Interval Neutrosophic Set (INS); 3) there are also cases when T, I, F are discrete finite subsets of [0, 1], which is called Hesitant Neutrosophic

Set (HNS); for example: T = {0,2, 0,5, 0.9}, I = {0.1, 0.8}, F = {0.0. 0.2, 0.6, 0.8}. In your last paper you already did a refinement, which is very good; I feel nobody previously has done neutrosophic refinement in image analysis; that's why your work is remarkable. You considered, T split (refined) as TR, TG, TB, and similarly I split as IR, IG, IB. F could be considered empty-set (), as you did). - You used as "white" (T), "grey" (I), and "black" (F). Again, if needed in the application, you can refine; for example "white" as "white red" [light red], "white green" [light green], "white blue" [light blue], etc.;