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Filler Segmentation of Sem Paper Images Based on Mathematical Morphology

โœ Scribed by M. Ait Kbir; Rachid Benslimane; Elisabetta Princi; Silvia Vicini; Enrico Pedemonte


Book ID
102687661
Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
718 KB
Volume
97
Category
Article
ISSN
0003-4592

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## Abstract **Summary:** The dispersion quality of filler particles in highly loaded, flame retardant filled (FRF) polymer composites has been quantified using a complementary multifractal image analysis method. The use of an alternative imaging signal, backscattered electrons, greatly reduced the