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Automated Digital Image Based Measurement of Boundary Fractal Dimension for Complex Nanoparticles
Author(s) -
Wettimuny Ramitha,
Penumadu Dayakar
Publication year - 2003
Publication title -
particle and particle systems characterization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 56
eISSN - 1521-4117
pISSN - 0934-0866
DOI - 10.1002/ppsc.200390001
Subject(s) - fractal dimension , fractal , nanoparticle , image processing , fractal analysis , digital image , computer science , digital image processing , ceramic , materials science , artificial intelligence , biological system , computer vision , nanotechnology , mathematics , image (mathematics) , mathematical analysis , composite material , biology
There is a growing realization that complex nanoparticles produced by combustion reaction, precipitation, and spray technology using supercritical fluids, are fractally structured. The boundary fractal dimension is linked to the flow, packing and consolidation dynamics of nanopowders. It also contains information on the formation dynamics of the nanoparticles produced by various methods. Extraction of the fractal dimension information embodied in the nanoparticle's fractal structure is hampered by the lack of automated characterization algorithms for processing images of particles. This paper describes an efficient algorithm for analyzing digitized images of fractally structured nanoparticles and presents a computer program that automates the procedure using digital image processing techniques. The program functionality is demonstrated and discussed using digital images of typical pigment, ceramic and pharmaceutical powders.