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Volumn 47, Issue 4, 2013, Pages

A method for cucumber identification based on iterative-RELIEF and relevance vector machine

Author keywords

Harvesting robot; Image identification; Iterative RELIEF; Relevance vector machine (RVM)

Indexed keywords

HARVESTING ROBOT; IDENTIFICATION ACCURACY; IMAGE CLASSIFIERS; IMAGE IDENTIFICATION; ITERATIVE-RELIEF; ITERATIVE-RELIEF ALGORITHMS; REALTIME PROCESSING; RELEVANCE VECTOR MACHINE;

EID: 84878369815     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (11)
  • 1
    • 0036853857 scopus 로고    scopus 로고
    • An autonomous robot for harvesting cucumbers in greenhouses
    • Van Henten E J, Hemming J, Van Tuijl B A J, et al. An autonomous robot for harvesting cucumbers in greenhouses [J]. Autonomous Robeots, 2002, 13: 241-258.
    • (2002) Autonomous Robeots , vol.13 , pp. 241-258
    • van Henten, E.J.1    Hemming, J.2    van Tuijl, B.A.J.3
  • 2
  • 3
    • 84878370640 scopus 로고    scopus 로고
    • Detecting the information of cucumber in greenhouse for picking based on NIR image
    • Yuan Ting, Xu Chen-guang, Ren X Y, et al. Detecting the information of cucumber in greenhouse for picking based on NIR image [J]. Journal of Machine Learning Research, 2001, 1(3): 211-244.
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.3 , pp. 211-244
    • Yuan, T.1    Xu, C.-G.2    Ren, X.Y.3
  • 4
    • 53049084322 scopus 로고    scopus 로고
    • A real-time machine vision algorithm for robotic citrus harvesting
    • ASAE Paper No. 073125
    • Hannan M W, Burks T F, Bulanon D M. A real-time machine vision algorithm for robotic citrus harvesting [C]//St Joseph ASAE Mich: ASAE, 2007: ASAE Paper No. 073125.
    • (2007) St Joseph ASAE Mich: ASAE
    • Hannan, M.W.1    Burks, T.F.2    Bulanon, D.M.3
  • 6
    • 82055181662 scopus 로고    scopus 로고
    • Semantic image classification of a Relief-F feature weighting based SVM method for performance
    • LIU Jie, DU Jun-ping. Semantic image classification of a Relief-F feature weighting based SVM method for performance [J]. Journal of Central South University(Science and Technology), 2011, 42(Suppl.1): 750-754.
    • (2011) Journal of Central South University(Science and Technology) , vol.42 , Issue.SUPPL.1 , pp. 750-754
    • Liu, J.1    Du, J.-P.2
  • 7
    • 34247622378 scopus 로고    scopus 로고
    • Iterative RELIEF for feature weighting: Algorithms, theories, and applications
    • Sun Yi-jun. Iterative RELIEF for feature weighting: Algorithms, theories, and applications [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6): 1035-1051.
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.6 , pp. 1035-1051
    • Sun, Y.-J.1
  • 8
    • 77957559293 scopus 로고    scopus 로고
    • Overview of image textural feature extraction methods
    • LIU Li, KUANG Gang-yao. Overview of image textural feature extraction methods [J]. Journal of Image and Graphics, 2009, 14(4): 622-635.
    • (2009) Journal of Image and Graphics , vol.14 , Issue.4 , pp. 622-635
    • Liu, L.1    Kuang, G.-Y.2
  • 9
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping M E. Sparse Bayesian learning and the relevance vector machine [J]. Journal of Machine Learning Research, 2001, 1(3): 211-244.
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.3 , pp. 211-244
    • Tipping, M.E.1
  • 10
    • 84878377298 scopus 로고    scopus 로고
    • Chinese source
    • 2011.
    • (2011)
  • 11
    • 84859634066 scopus 로고    scopus 로고
    • Application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs
    • Samui P, Dixon B. Application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs [J]. Hydrological Processes, 2012, 26(9): 1361-1369.
    • (2012) Hydrological Processes , vol.26 , Issue.9 , pp. 1361-1369
    • Samui, P.1    Dixon, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.