Machine vision based particle size and size distribution determination of airborne dust particles of wood and bark pellets

Powder Technology

Volumn 196, Issue 2, 2009, Pages 202-212

  Igathinathane, C ^a,b   Melin, S ^b,c   Sokhansanj, S ^b   Bi, X ^b   Lim, C J ^b   Pordesimo, L O ^d   Columbus, E P ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c Delta Research Corporation   (Canada)

^d ADM Alliance Nutrition Inc   (United States)

Author keywords

Dust; Image processing; ImageJ plugin; Particle size distribution; Physical property; Wood pellet

Indexed keywords

AIRBORNE DUSTS; AIRBORNE PARTICLE; ARITHMETIC MEAN; COMPUTER SPEED; DIGITAL IMAGE; DIMENSIONAL MEASUREMENTS; DIRECT METHOD; DUST PARTICLE; FINE PARTICLES; FINER PARTICLES; GRAPHICAL FORMAT; GREY SCALE IMAGES; HALO EFFECT; HIGH RESOLUTION; HIGH RESOLUTION IMAGE; IMAGEJ PLUGIN; INDIRECT METHODS; INDUSTRIAL ENVIRONMENTS; LASER DIFFRACTIONS; MACHINE VISION; MANAGEMENT STRATEGIES; MEASUREMENT ACCURACY; MEASUREMENT ALGORITHMS; MEASUREMENT AND ANALYSIS; MECHANICAL SIEVING; NONUNIFORM; PARTICLE LENGTH; PARTICLE WIDTH; PINE TREES; PINE WOODS; PLUG-INS; SCAN IMAGES; SIZE AND SIZE DISTRIBUTIONS; TEST MATERIALS; THRESHOLD LIMITS; WOOD PELLET;

ACOUSTIC SPECTROSCOPY; COMPUTER VISION; DUST; IMAGING SYSTEMS; LIGHT; ORE PELLETS; PARTICLE SIZE; PELLETIZING; SECURITY OF DATA; SIZE DISTRIBUTION; WOOD;

PARTICLE SIZE ANALYSIS;

AIRBORNE PARTICLE; ALGORITHM; ARTICLE; BARK; CONTROLLED STUDY; DIGITAL IMAGING; DUST; HALO EFFECT; INDUSTRY; LASER DIFFRACTION; LIGHT SCATTERING; PARTICLE SIZE; PINE; SAMPLING; SAWDUST; SPECTROSCOPY; WOOD DUST;

ACOUSTICS; ALGORITHMS; DIFFRACTION; DUST; IMAGE ANALYSIS; OPTICAL SCATTERING; PARTICLE SIZE;

EID: 70349154590     PISSN: 00325910     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.powtec.2009.07.024     Document Type: Article

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