Sieveless particle size distribution analysis of particulate materials through computer vision

Computers and Electronics in Agriculture

Volumn 66, Issue 2, 2009, Pages 147-158

  Igathinathane, C ^a   Pordesimo, L O ^a   Columbus, E P ^a   Batchelor, W D ^a   Sokhansanj, S ^b  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

Biomass sieve analysis; Dimension; Image processing; ImageJ plugin; Particle size distribution; Physical property

Indexed keywords

BIOLOGICAL MATERIALS; BIOMASS; COMPUTATIONAL METHODS; COMPUTER VISION; HOT ISOSTATIC PRESSING; IMAGING SYSTEMS; PARTICLE SIZE; POWER SPECTRAL DENSITY; PULSE SHAPING CIRCUITS; SIEVES; SIZE DISTRIBUTION; SIZE SEPARATION; STANDARDS;

ALTERNATIVE APPROACHES; ANALYSIS APPROACHES; ANALYSIS METHODS; AUTOMATED ANALYSIS; BASMATI RICE; DIGITAL IMAGES; DIMENSION; ELEPHANT GRASS; FLAT-BED SCANNERS; GROUND BIOMASS; IMAGE-BASED; IMAGEJ PLUGIN; LOW COSTS; MECHANICAL SIEVING; MINOR AXIS; MISCANTHUS; NON-UNIFORM; NONCONVEX; PARTICLE SIZE DISTRIBUTION; PARTICLE SIZE DISTRIBUTION ANALYSIS; PARTICULATE MATERIALS; PINE FORESTS; STANDARD METHODS; SWITCHGRASS; TEST SAMPLES; WALL THICKNESS; WHEAT STRAWS;

PARTICLE SIZE ANALYSIS;

COMPUTER AIDED DESIGN; MEASUREMENT METHOD; PARTICLE SIZE; PARTICULATE MATTER; PHYSICAL PROPERTY; SIZE DISTRIBUTION;

MISCANTHUS; PANICUM VIRGATUM; PENNISETUM PURPUREUM; PINUS ECHINATA; TRITICUM AESTIVUM;

EID: 63149125437     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2009.01.005     Document Type: Article

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