FILLER SEGMENTATION OF SEM PAPER IMAGES BASED ON MATHEMATICAL MORPHOLOGY.

The article discusses the morphological analysis of paper images through scanning electron microscopy (SEM) and energy dispersive spectrometry (EDS). The materials are segmented into individual fibers to determine their digital measurements using secondary electron detector. Calcium carbonate particles resulted to the formation of fillers characterized by large amounts of coarse edge fibers and irregular granules. Furthermore, fiber borders with small size width are accidentally identified, however, they represent flat and peak directions.