title: Filler segmentation of SEM paper images based on mathematical morphology.
abstract: Recent developments in microscopy and image processing have made digital measurements on high-resolution images of fibrous materials possible. This helps to gain a better understanding of the structure and other properties of the material at micro level. In this paper SEM image segmentation based on mathematical morphology is proposed. In fact, paper models images (Whatman, Murillo, Watercolor, Newsprint paper) selected in the context of the Euro Mediterranean PaperTech Project have different distributions of fibers and fillers, caused by the presence of SiAl and CaCO3 particles. It is a microscopy challenge to make filler particles in the sheet distinguishable from the other components of the paper surface. This objectif is reached here by using switable strutural elements and mathematical morphology operators.
authors.affiliation: Départ. Génie Informatique FST, Tanger, Morocco. aitkbir@fstt.ac.ma
authors.forename: M
authors.initials: M
authors.lastname: Ait Kbir
authors.forename: Rachid
authors.initials: R
authors.lastname: Benslimane
authors.forename: Elisabetta
authors.initials: E
authors.lastname: Princi
authors.forename: Silvia
authors.initials: S
authors.lastname: Vicini
authors.forename: Enrico
authors.initials: E
authors.lastname: Pedemonte
mesh_terms: D008433:Mathematics; D008855:Microscopy, Electron, Scanning / Q000379:methods*; D008962:Models, Theoretical