Open AccessSoft morphological filtering using hypergraphs
Author(s) -
Nuja M Unnikrishnan,
Mini Tom,
V Bino Sebastian,
Kuballa Thomas
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1085/1/012038
Subject(s) - hypergraph , mathematical morphology , vertex (graph theory) , computer science , mathematics , extension (predicate logic) , set (abstract data type) , artificial intelligence , image (mathematics) , theoretical computer science , discrete mathematics , image processing , graph , programming language
A new framework of soft mathematical morphology on hypergraph spaces is studied. Application in image processing for filtering objects defined in hypergraph spaces are illustrated using several soft morphological operators-openings, closings, granulometries and ASF acting (a) on the subset of vertex and hyperedge set of a hypergraph and (b) on the subhypergraphs of a hypergraph. Experimental results dealing with the extension of soft morphological operators to gray scale images are presented in this paper. The results obtained are promising and is a better substitute for the prevailing methods.