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Volumn 125, Issue 8, 2014, Pages 1903-1907

Detecting citrus fruits with highlight on tree based on fusion of multi-map

Author keywords

Detection; Highlight; Machine vision; Mature orange

Indexed keywords

ARTIFICIAL VISION SYSTEM; AUTOMATIC GUIDING; CHROMATIC ABERRATION; DETECTION ACCURACY; FALSE ALARM RATE; FRUIT HARVESTING; HIGHLIGHT; MATURE ORANGE;

EID: 84893726217     PISSN: 00304026     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijleo.2013.04.135     Document Type: Article
Times cited : (15)

References (13)
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    • D.C. Slaughter, and R.C. Harrell Discriminating fruit for robotic harvest using color in natural outdoor scenes Trans. ASAE 32 1989 757 763
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    • Slaughter, D.C.1    Harrell, R.C.2
  • 3
    • 84875028862 scopus 로고
    • Department of Mechanical Engineering, Technion - Israel Institute of Technology Haifa, Israel
    • Y.A. Ness Computer Vision System for all Orange Harvesting Robot 1989 Department of Mechanical Engineering, Technion - Israel Institute of Technology Haifa, Israel
    • (1989) Computer Vision System for All Orange Harvesting Robot
    • Ness, Y.A.1
  • 4
    • 0006656288 scopus 로고
    • Vision system for the location of citrus fruit in a tree canopy
    • E. Moct, F. Pla, and F. Juste Vision system for the location of citrus fruit in a tree canopy J. Agric. Eng. Res. 52 1992 101 110
    • (1992) J. Agric. Eng. Res. , vol.52 , pp. 101-110
    • Moct, E.1    Pla, F.2    Juste, F.3
  • 5
    • 0032676552 scopus 로고    scopus 로고
    • Automatic fruit recognition: A survey and new results using range attenuation images
    • A.R. Jimmez, R. Ceres, and J.L. Pons Automatic fruit recognition: a survey and new results using range attenuation images Pattern Recognit. 32 1999 1719 1736
    • (1999) Pattern Recognit. , vol.32 , pp. 1719-1736
    • Jimmez, A.R.1    Ceres, R.2    Pons, J.L.3
  • 6
    • 20444425329 scopus 로고    scopus 로고
    • Identification of citrus fruit in a tree canopy using color information
    • (in Chinese with English abstract)
    • H.R. Xu, Z.Z. Ye, and Y.B. Ying Identification of citrus fruit in a tree canopy using color information Trans. CSAE 21 2005 98 101 (in Chinese with English abstract)
    • (2005) Trans. CSAE , vol.21 , pp. 98-101
    • Xu, H.R.1    Ye, Z.Z.2    Ying, Y.B.3
  • 8
    • 84875034646 scopus 로고    scopus 로고
    • Adaptive recognition of different maturity citrus in natural scenes
    • MAY 62
    • J.H. Wang, Q. Ouyang, and Q.S. Chen et al. Adaptive recognition of different maturity citrus in natural scenes Opt. Optoelectron. Technol. 7 May 2009 56 58 62
    • (2009) Opt. Optoelectron. Technol. , vol.7 , pp. 56-58
    • Wang, J.H.1    Ouyang, Q.2    Chen, Q.S.3
  • 9
    • 79951665646 scopus 로고    scopus 로고
    • Image recognition and three dimensional location of mature oranges from nature scene
    • DECEMBER
    • J.R. Cai, Y.L. Li, and J. Fan et al. Image recognition and three dimensional location of mature oranges from nature scene Microcomput. Inform. 23 December 2007 224 226
    • (2007) Microcomput. Inform. , vol.23 , pp. 224-226
    • Cai, J.R.1    Li, Y.L.2    Fan, J.3
  • 10
    • 40749126426 scopus 로고    scopus 로고
    • Recognition of mature oranges in natural scene based on machine vision
    • JANUARY (in Chinese with English abstract)
    • J.R. Cai, X.J. Zhou, and Y.L. Li et al. Recognition of mature oranges in natural scene based on machine vision Trans. CSAE 24 January 2008 175 178 (in Chinese with English abstract)
    • (2008) Trans. CSAE , vol.24 , pp. 175-178
    • Cai, J.R.1    Zhou, X.J.2    Li, Y.L.3
  • 11
    • 79953684565 scopus 로고    scopus 로고
    • Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables
    • C. Sergio, A. Nuria, and M. Enrique et al. Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables Food Bioprocess. Technol. 4 2011 487 504
    • (2011) Food Bioprocess. Technol. , vol.4 , pp. 487-504
    • Sergio, C.1    Nuria, A.2    Enrique, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.