Field phenotyping of grapevine growth using dense stereo reconstruction

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Klodt, Maria ^a   Herzog, Katja ^b   Töpfer, Reinhard ^b   Cremers, Daniel ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b INSTITUTE FOR EPIDEMIOLOGY AND PATHOGEN DIAGNOSTICS   (Germany)

Author keywords

Depth maps; Digital leaf area; Fruit to leaf ratio; Image analysis; Image segmentation; Leaf classification; Vitis vinifera

Indexed keywords

AUTOMATION; CAMERAS; DATA FLOW ANALYSIS; FRUITS; IMAGE ACQUISITION; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MEAN SQUARE ERROR; PLANTS (BOTANY); THROUGHPUT;

BACKGROUND SUBTRACTION; DEPTH MAP; DETERMINATION COEFFICIENTS; LEAF AREA; LEAF CLASSIFICATION; ROOT MEAN SQUARE ERRORS; STEREO RECONSTRUCTION; VITIS VINIFERA;

STEREO IMAGE PROCESSING;

VITACEAE; VITIS; VITIS VINIFERA;

CHEMISTRY; COLOR; COMPUTER ASSISTED DIAGNOSIS; FRUIT; GROWTH, DEVELOPMENT AND AGING; LIGHT; PHENOTYPE; PLANT LEAF; PLANT STEM; PROCEDURES; STATISTICAL MODEL; VITIS;

COLOR; FRUIT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIGHT; MODELS, STATISTICAL; PHENOTYPE; PLANT LEAVES; PLANT STEMS; VITIS;

EID: 84930208782     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0560-x     Document Type: Article

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