Evaluation of variations in the shape of grain types using principal components analysis of the elliptic Fourier descriptors

Computers and Electronics in Agriculture

Volumn 80, Issue , 2012, Pages 63-70

  Mebatsion, H K ^a   Paliwal, J ^a   Jayas, D S ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Computer vision; Fourier descriptors; Grain shape; Principal components analysis

Indexed keywords

CEREAL GRAINS; DIGITAL IMAGE; ELLIPTIC FOURIER DESCRIPTORS; FOUR-GROUP; FOURIER COEFFICIENTS; FOURIER DESCRIPTORS; GRAIN SHAPE; GRAIN TYPES; GROWING REGIONS; IMAGE BOUNDARIES; PRINCIPAL COMPONENTS; PRINCIPAL COMPONENTS ANALYSIS; SHAPE VARIATIONS;

COMPUTER VISION; CONTENT BASED RETRIEVAL; FOURIER ANALYSIS; FOURIER TRANSFORMS; GRAIN (AGRICULTURAL PRODUCT); WAVEFORM ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

BARLEY; COMPUTER SIMULATION; DIGITAL IMAGE; FTIR SPECTROSCOPY; IMAGE ANALYSIS; IMAGE RESOLUTION; NDVI; PRECISION AGRICULTURE; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE ANALYSIS; REMOTE SENSING; SHAPE ANALYSIS; WHEAT;

HORDEUM; SECALE CEREALE; TRITICUM AESTIVUM;

EID: 81355138436     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2011.10.016     Document Type: Article

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