메뉴 건너뛰기




Volumn 41, Issue 16, 2014, Pages 7390-7397

Detecting corn tassels using computer vision and support vector machines

Author keywords

Computer vision; Image processing; Maize tassel detection; Support vector machine

Indexed keywords

COLOR; COMPUTER VISION; IMAGE PROCESSING; IMAGE RETRIEVAL; MATHEMATICAL MORPHOLOGY; PLANTS (BOTANY); QUALITY ASSURANCE;

EID: 84904191292     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.06.013     Document Type: Article
Times cited : (87)

References (20)
  • 1
    • 84883011272 scopus 로고    scopus 로고
    • A new illumination invariant feature based on sift descriptor in color space
    • R.J. Alitappeh, K.J. Saravi, and F. Mahmoudi A new illumination invariant feature based on sift descriptor in color space Procedia Engineering 41 2012 305 311
    • (2012) Procedia Engineering , vol.41 , pp. 305-311
    • Alitappeh, R.J.1    Saravi, K.J.2    Mahmoudi, F.3
  • 2
    • 84872619601 scopus 로고    scopus 로고
    • Green citrus detection using fast Fourier transform (FFT) leakage
    • R. Bansal, W.S. Lee, and S. Satish Green citrus detection using fast Fourier transform (FFT) leakage Precision Agriculture 14 2013 59 70
    • (2013) Precision Agriculture , vol.14 , pp. 59-70
    • Bansal, R.1    Lee, W.S.2    Satish, S.3
  • 3
    • 79955060926 scopus 로고
    • Intelligent sensing and self-organizing fuzzy logic techniques used in agricultural automation
    • St. Joseph, MI
    • Blackmore, B. S.; Steinhauser, T. (1993). Intelligent sensing and self-organizing fuzzy logic techniques used in agricultural automation. ASAE Paper No. 931048, St. Joseph, MI.
    • (1993) ASAE Paper No. 931048
    • Blackmore . B, S.1    Steinhauser, T.2
  • 4
    • 0043164490 scopus 로고    scopus 로고
    • An analysis of co-occurrence texture statistics as a function of grey level quantization
    • D.A. Clausi An analysis of co-occurrence texture statistics as a function of grey level quantization Canadian Journal of Remote Sensing 28 2002 45 62
    • (2002) Canadian Journal of Remote Sensing , vol.28 , pp. 45-62
    • Clausi, D.A.1
  • 5
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes, and V. Vapnik Support-vector networks Machine Learning 20 1995 273 297
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 9
    • 3342897624 scopus 로고    scopus 로고
    • Discrimination of sunflower, weed and soil by artificial neural networks
    • DOI 10.1016/j.compag.2004.03.006, PII S0168169904000729
    • İ. KavdIr Discrimination of sunflower, weed and soil by artificial neural networks Computers and Electronics in Agriculture 44 2004 153 160 (Pubitemid 38991692)
    • (2004) Computers and Electronics in Agriculture , vol.44 , Issue.2 , pp. 153-160
    • Kavdir, I.1
  • 10
    • 84893646951 scopus 로고    scopus 로고
    • Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network
    • F. Kurtulmuş, W.S. Lee, and A. Vardar Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network Precision Agriculture 15 2014 57 79
    • (2014) Precision Agriculture , vol.15 , pp. 57-79
    • Kurtulmuş, F.1    Lee, W.S.2    Vardar, A.3
  • 11
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • 20-25 September Kerkyra, Corfu, Greece
    • Lowe, D. G. (1999). Object recognition from local scale-invariant features. In Proceedings of the 7th international conference on computer vision, 20-25 September (pp. 1150-1157). Kerkyra, Corfu, Greece.
    • (1999) Proceedings of the 7th International Conference on Computer Vision , pp. 1150-1157
    • Lowe, D.G.1
  • 12
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale invariant features
    • D.G. Lowe Distinctive image features from scale invariant features International Journal of Computer Vision 60 2004 91 110
    • (2004) International Journal of Computer Vision , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 13
    • 34247500374 scopus 로고    scopus 로고
    • Python for scientific computing
    • DOI 10.1109/MCSE.2007.58, 4160250
    • T.E. Oliphant Python for scientific computing Computing in Science and Engineering 9 2007 10 20 (Pubitemid 46646860)
    • (2007) Computing in Science and Engineering , vol.9 , Issue.3 , pp. 10-20
    • Oliphant, T.E.1
  • 14
    • 79952528669 scopus 로고    scopus 로고
    • OpenCV Accessed 17.01.14
    • OpenCV (2014). Open source computer vision. Available at: < www.opencv.org >. Accessed 17.01.14.
    • (2014) Open Source Computer Vision
  • 15
    • 0027543007 scopus 로고
    • Feature extraction of spherical objects in image analysis: An application to robotic citrus harvesting
    • F. Pla, F. Juste, and F. Ferri Feature extraction of spherical objects in image analysis: An application to robotic citrus harvesting Computers and Electronics in Agriculture 8 1993 57 72
    • (1993) Computers and Electronics in Agriculture , vol.8 , pp. 57-72
    • Pla, F.1    Juste, F.2    Ferri, F.3
  • 16
    • 70349121330 scopus 로고    scopus 로고
    • Citrus yield mapping and size determination using machine vision and ultrasonic sensors
    • St. Joseph, MI, USA
    • Regunathan, M.; Lee, W. S. (2005). Citrus yield mapping and size determination using machine vision and ultrasonic sensors. ASAE Paper No. 053017. ASAE, St. Joseph, MI, USA.
    • (2005) ASAE Paper No. 053017. ASAE
    • Regunathan, M.1    Lee . W, S.2
  • 17
    • 84904173771 scopus 로고    scopus 로고
    • Scikit-image Accessed 17.01.14
    • Scikit-image (2014). Image processing in Python. Available at: < www.scikit-image.org >. Accessed 17.01.14.
    • (2014) Image Processing in Python
  • 18
    • 85008244424 scopus 로고    scopus 로고
    • Scikit-learn Accessed 17.01.14
    • Scikit-learn (2014). Machine learning in python. Available at: < www.scikit-learn.org >. Accessed 17.01.14.
    • (2014) Machine Learning in Python
  • 19
    • 0002663098 scopus 로고
    • SLINK: An optimally efficient algorithm for the single-link cluster method
    • R. Sibson SLINK: An optimally efficient algorithm for the single-link cluster method The Computer Journal (British Computer Society) 16 1973 30 34
    • (1973) The Computer Journal (British Computer Society) , vol.16 , pp. 30-34
    • Sibson, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.