Analysis of texture-based features for predicting mechanical properties of horticultural products by laser light backscattering imaging

Computers and Electronics in Agriculture

Volumn 98, Issue , 2013, Pages 34-45

  Mollazade, Kaveh ^a,c   Omid, Mahmoud ^a   Akhlaghian Tab, Fardin ^b   Kalaj, Yousef Rezaei ^c   Mohtasebi, Seyed Saeid ^a   Zude, Manuela ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF KURDISTAN   (Iran)

^c LEIBNIZ INSTITUTE FOR AGRICULTURAL ENGINEERING AND BIOECONOMY ATB   (Germany)

Author keywords

ANFIS; Backscattering; Feature fusion; Quality evaluation; Texture analysis

Indexed keywords

BACKSCATTERING; ELASTICITY; FORECASTING; FRUITS; IMAGE SEGMENTATION; NONDESTRUCTIVE EXAMINATION; TEXTURES;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; CORRELATION COEFFICIENT; FEATURE FUSION; LASER LIGHT BACKSCATTERING IMAGING; NON-DESTRUCTIVE TECHNIQUE; QUALITY EVALUATION; TEXTURE ANALYSIS;

QUALITY CONTROL;

ADVANCED TECHNOLOGY; AGRICULTURAL TECHNOLOGY; BACKSCATTER; BIOMECHANICS; FRUIT; FUZZY MATHEMATICS; HORTICULTURE; IMAGE ANALYSIS; MECHANICAL PROPERTY; NONDESTRUCTIVE TESTING; PREDICTION; TEXTURE;

BASIDIOMYCOTA; LYCOPERSICON ESCULENTUM; MALUS X DOMESTICA; PRUNUS DOMESTICA;

EID: 84975893311     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.07.011     Document Type: Article

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