A novel artificial neural networks assisted segmentation algorithm for discriminating almond nut and shell from background and shadow

Computers and Electronics in Agriculture

Volumn 105, Issue , 2014, Pages 34-43

  Teimouri, Nima ^a   Omid, Mahmoud ^a   Mollazade, Kaveh ^b   Rajabipour, Ali ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF KURDISTAN   (Iran)

Author keywords

Almond; Artificial neural networks; Color features; Image processing; Segmentation; Sensitivity analysis

Indexed keywords

COLOR; IMAGE PROCESSING; NEURAL NETWORKS; SENSITIVITY ANALYSIS;

ALMOND; COLOR FEATURES; DYNAMIC THRESHOLDING; EFFECTIVE ALGORITHMS; FEATURE SELECTION AND CLASSIFICATION; REAL-TIME APPLICATION; SEGMENTATION ALGORITHMS; WATERSHED METHODS;

IMAGE SEGMENTATION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; DICOTYLEDON; IMAGE PROCESSING; NUMERICAL MODEL; SEGMENTATION; SENSITIVITY ANALYSIS;

EID: 84975713351     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.04.008     Document Type: Article

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