A hybrid intelligent approach based on computer vision and fuzzy logic for quality measurement of milled rice

Measurement: Journal of the International Measurement Confederation

Volumn 66, Issue , 2015, Pages 26-34

  Zareiforoush, Hemad ^a   Minaei, Saeid ^a   Alizadeh, Mohammad Reza ^b   Banakar, Ahmad ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b RICE RESEARCH INSTITUTE OF IRAN   (Iran)

Author keywords

Breakage; Fuzzy logic; Grading; Image processing; Milled rice

Indexed keywords

ARTIFICIAL INTELLIGENCE; COAL BREAKAGE; COMPUTER VISION; DECISION SUPPORT SYSTEMS; FUZZY INFERENCE; GRADING; IMAGE PROCESSING; MEMBERSHIP FUNCTIONS;

FUZZY INFERENCE SYSTEMS; HYBRID INTELLIGENT APPROACH; IMAGE PROCESSING TECHNIQUE; LINGUISTIC VARIABLE; MACHINE VISION SYSTEMS; MILLED RICE; QUALITY MEASUREMENTS; STATISTICAL PERFORMANCE;

FUZZY LOGIC;

EID: 84922901610     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2015.01.022     Document Type: Article

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