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Volumn 31, Issue 9, 2010, Pages 920-925

Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminant

Author keywords

Crop image; Fisher linear discriminant; Mean shift; Point line distance; Segmentation

Indexed keywords

CLASS MEAN; CROP CANOPY; DISTANCE-BASED STRATEGY; FISHER LINEAR DISCRIMINANTS; HIGH QUALITY; HYBRID METHOD; MEAN SHIFT; POINT-LINE DISTANCE; SIMULATION RESULT; TRAINING DATA;

EID: 77951138969     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.01.016     Document Type: Article
Times cited : (64)

References (18)
  • 1
    • 36749067900 scopus 로고    scopus 로고
    • A vision based row detection system for sugar beet
    • Bakker T., et al. A vision based row detection system for sugar beet. Comput. Electron. Agric. 60 1 (2008) 87-95
    • (2008) Comput. Electron. Agric. , vol.60 , Issue.1 , pp. 87-95
    • Bakker, T.1
  • 2
    • 0033444876 scopus 로고    scopus 로고
    • Distribution free decomposition of multivariate data
    • Comaniciu D., and Meer P. Distribution free decomposition of multivariate data. Pattern Anal. Appl. 2 (1999) 22-30
    • (1999) Pattern Anal. Appl. , vol.2 , pp. 22-30
    • Comaniciu, D.1    Meer, P.2
  • 3
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • Comaniciu D., and Meer P. Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Machine Intell. 24 5 (2002) 603-619
    • (2002) IEEE Trans. Pattern Anal. Machine Intell. , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 4
    • 0001474381 scopus 로고
    • The statistical utilization of multiple measurements
    • Fisher R.A. The statistical utilization of multiple measurements. Ann. Eugenics 8 (1938) 376-386
    • (1938) Ann. Eugenics , vol.8 , pp. 376-386
    • Fisher, R.A.1
  • 6
    • 33750022335 scopus 로고    scopus 로고
    • Margin preserving projection
    • Lee Y., Ahn D., and Moon K. Margin preserving projection. Electron. Lett. 42 21 (2006) 1249-1250
    • (2006) Electron. Lett. , vol.42 , Issue.21 , pp. 1249-1250
    • Lee, Y.1    Ahn, D.2    Moon, K.3
  • 7
    • 0011807327 scopus 로고    scopus 로고
    • Machine vision techniques for measuring the canopy of tomato seedling
    • Ling P.P., and Ruzhitsky V.N. Machine vision techniques for measuring the canopy of tomato seedling. J. Agric. Eng. Res. 65 2 (1996) 85-95
    • (1996) J. Agric. Eng. Res. , vol.65 , Issue.2 , pp. 85-95
    • Ling, P.P.1    Ruzhitsky, V.N.2
  • 10
    • 0023331286 scopus 로고
    • Vision-based guidance of an agricultural tractor
    • Reid J., and Searcy S. Vision-based guidance of an agricultural tractor. IEEE Control Syst. Magazine 7 2 (1987) 39-43
    • (1987) IEEE Control Syst. Magazine , vol.7 , Issue.2 , pp. 39-43
    • Reid, J.1    Searcy, S.2
  • 12
    • 7444268120 scopus 로고    scopus 로고
    • Video processing for early stage maize plant detection
    • Shrestha D.S., Steward B.L., and Birrell S.J. Video processing for early stage maize plant detection. Biosyst. Eng. 89 2 (2004) 119-129
    • (2004) Biosyst. Eng. , vol.89 , Issue.2 , pp. 119-129
    • Shrestha, D.S.1    Steward, B.L.2    Birrell, S.J.3
  • 13
    • 0037327012 scopus 로고    scopus 로고
    • Determination of crop rows by image analysis without segmentation
    • Sogaard H.T., and Olsen H.J. Determination of crop rows by image analysis without segmentation. Comput. Electron. Agric. 38 2 (2003) 141-158
    • (2003) Comput. Electron. Agric. , vol.38 , Issue.2 , pp. 141-158
    • Sogaard, H.T.1    Olsen, H.J.2
  • 14
    • 34848827405 scopus 로고    scopus 로고
    • A vision-based method for weeds identification through the Bayesian decision theory
    • Tellaeche A., et al. A vision-based method for weeds identification through the Bayesian decision theory. Pattern Recognition 41 2 (2008) 521-530
    • (2008) Pattern Recognition , vol.41 , Issue.2 , pp. 521-530
    • Tellaeche, A.1
  • 15
    • 0027252424 scopus 로고
    • Lant species identification, size, and enumeration using machine vision techniques on near-binary images
    • Woebbecke D.M., et al. Lant species identification, size, and enumeration using machine vision techniques on near-binary images. SPIE Opt. Agric., Forestry, Biological Process. 1836 (1992) 208-219
    • (1992) SPIE Opt. Agric., Forestry, Biological Process. , vol.1836 , pp. 208-219
    • Woebbecke, D.M.1
  • 16
    • 0029107676 scopus 로고
    • Shape features for identifying young weeds using image analysis
    • Woebbecke D.M., et al. Shape features for identifying young weeds using image analysis. Trans. Am. Soc. Agric. Eng. 38 1 (1995) 271-281
    • (1995) Trans. Am. Soc. Agric. Eng. , vol.38 , Issue.1 , pp. 271-281
    • Woebbecke, D.M.1
  • 17
    • 0037262138 scopus 로고    scopus 로고
    • Multiparameter analysis of vertical vegetation structure based on digital image processing
    • Zehm A., Nobis M., and Schwabe A. Multiparameter analysis of vertical vegetation structure based on digital image processing. Flora-Morphol., Distr., Funct. Ecol. Plants 198 2 (2003) 142-160
    • (2003) Flora-Morphol., Distr., Funct. Ecol. Plants , vol.198 , Issue.2 , pp. 142-160
    • Zehm, A.1    Nobis, M.2    Schwabe, A.3
  • 18
    • 57349118530 scopus 로고    scopus 로고
    • Mean-shift-based color segmentation of images containing green vegetation
    • Zheng L., Zhang J., and Wang Q. Mean-shift-based color segmentation of images containing green vegetation. Comput. Electron. Agric. 65 1 (2009) 93-98
    • (2009) Comput. Electron. Agric. , vol.65 , Issue.1 , pp. 93-98
    • Zheng, L.1    Zhang, J.2    Wang, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.