Detecting fruits in natural scenes by using spatial-frequency based texture analysis and multiview geometry

Computers and Electronics in Agriculture

Volumn 76, Issue 1, 2011, Pages 80-88

  Rakun, J ^a   Stajnko, D ^a   Zazula, D ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

3D reconstruction; Affine transformation; Image registration; Image segmentation; Multiview geometry; Texture analysis

Indexed keywords

3-D SHAPE; 3-D SPACE; 3D RECONSTRUCTION; AFFINE TRANSFORMATION; APPLE FRUITS; BACKGROUND FEATURES; COLOUR SEGMENTATION; FRUIT YIELD; ILLUMINATION CONDITIONS; MULTI-VIEW GEOMETRY; NATURAL SCENES; OBJECT DETECTION; POTENTIAL REGION; TEXTURE ANALYSIS;

COLOR; COMPUTER VISION; FEATURE EXTRACTION; FRUITS; GEOMETRY; IMAGE REGISTRATION; IMAGE SEGMENTATION; TEXTURES;

THREE DIMENSIONAL;

COLOR; COMPUTER SIMULATION; DETECTION METHOD; DIAMETER; ESTIMATION METHOD; FREQUENCY ANALYSIS; FRUIT; GEOMETRY; NUMERICAL MODEL; RESEARCH WORK; SPATIAL ANALYSIS; TEXTURE; THREE-DIMENSIONAL MODELING; YIELD;

MALUS X DOMESTICA;

EID: 79955089539     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2011.01.007     Document Type: Article

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