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Volumn 2, Issue , 2009, Pages 1362-1372

Automated insect classification with combined Global and local features for orchard management

Author keywords

Classification; Global features; Image processing; Insect; Local features; Pattern recognition

Indexed keywords

BAG OF WORDS; BINARY TRANSFORMATION; CLASSIFICATION; COLOR FEATURES; COMBINATION MODELS; GAUSSIAN FUNCTIONS; GLOBAL FEATURE; GRAY LEVELS; IMAGE BASED SYSTEM; INSECT IMAGES; INTEREST POINTS; LOCAL FEATURE; MICHIGAN; ORIGINAL IMAGES; PARTIAL INFORMATION; PATTERN RECOGNITION METHOD; REPRESENTATION METHOD; SCALE INVARIANT;

EID: 76449086088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (12)
  • 3
    • 84937655864 scopus 로고
    • Visual pattern recognition by moment invariants
    • Hu, M. 1962. Visual pattern recognition by moment invariants, IRE Transaction Inform Theory 8: 179-187.
    • (1962) IRE Transaction Inform Theory , vol.8 , pp. 179-187
    • Hu, M.1
  • 4
    • 38749151918 scopus 로고    scopus 로고
    • Automated Insect Identification through concatenated histograms of local appearance features
    • Larios, N., H. Deng, T. G. Dietterich, et al. 2008. Automated Insect Identification through concatenated histograms of local appearance features. Machine Vision and Applications 19(2):105-123.
    • (2008) Machine Vision and Applications , vol.19 , Issue.2 , pp. 105-123
    • Larios, N.1    Deng, H.2    Dietterich, T.G.3
  • 5
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe, D. G. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2): 91-110.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 6
    • 33847173823 scopus 로고    scopus 로고
    • Automatic species identification of live moths
    • DOI 10.1016/j.knosys.2006.11.012, PII S0950705106002012, AI 2006
    • Mayo, M., A. T. Watson. 2007. Automatic species identification of live moths. Knowledge-based Systems 20:195-202. (Pubitemid 46282456)
    • (2007) Knowledge-Based Systems , vol.20 , Issue.2 , pp. 195-202
    • Mayo, M.1    Watson, A.T.2
  • 8
    • 0037272440 scopus 로고    scopus 로고
    • A feature set for cytometry on digitized microscopic images
    • Rodenacker, K., E. Bengtsson. 2003. A feature set for cytometry on digitized microscopic images, Analytical Cellular Pathology 25:1-36. (Pubitemid 36188603)
    • (2003) Analytical Cellular Pathology , vol.25 , Issue.1 , pp. 1-36
    • Rodenacker, K.1    Bengtsson, E.2
  • 10
    • 0033015348 scopus 로고    scopus 로고
    • Automating insect identification: Exploring the limitations of a prototype system
    • Weeks, P. J. D., M. A. O'Neill, K. J. Gaston, and I. D. Gauld. 1999. Automating insect identification: exploring the limitations of a prototype system. Journal of Applied Entomology 123:1-8.
    • (1999) Journal of Applied Entomology , vol.123 , pp. 1-8
    • Weeks, P.J.D.1    O'Neill, M.A.2    Gaston, K.J.3    Gauld, I.D.4
  • 11
    • 1942457095 scopus 로고    scopus 로고
    • Department of Plant Pathology and Department of Horticulture, Michigan State University.
    • Wise, J. C., L. J. Gut, R. Isaacs. 2007. Michigan fruit management guide. Department of Plant Pathology and Department of Horticulture, Michigan State University.
    • (2007) Michigan Fruit Management Guide
    • Wise, J.C.1    Gut, L.J.2    Isaacs, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.