• DocumentCode
    554159
  • Title

    Research on landmark extraction technology in identification of fruit flies (Diptera: Tephritidae)

  • Author

    Wang Lu ; Gao Lingwang ; Shen Zuorui ; Huang Lili ; Xing Qian

  • Author_Institution
    IPMist Lab., China Agric. Univ., Beijing, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1681
  • Lastpage
    1685
  • Abstract
    Application of mathematical morphology has speeded up into identification of species, including insects. In this study, we use TpsDig, a software product for feature extraction, to locate 17 landmarks with their coordinate value on digital images of wing samples from four species of fruit fly (Bactrocera dorsalis, B. cucurbitae, B. tau, B. scutellata) in Tephritidae. Twenty two geometrical morphometric parameters are evaluated to analyse the morphological divergence among the four species. Three standardized canonical discriminant functions are formulated: Y1=-0.114X1+1.121X2+0.613X3-0.067X4-0.019X5, Y2=0.515X1-0.001X2+1.379X3-2.242X4-0.795X5, and Y3=0.962X1+0.071X2+0.589X3+0.091X4-0.780X5. It proves that correctness of the samples in species identification can reach at 98.1%.
  • Keywords
    agricultural products; feature extraction; mathematical morphology; software tools; Bactrocera cucurbitae; Bactrocera dorsalis; Bactrocera scutellata; Bactrocera tau; Tephritidae; TpsDig; digital images; fruit fly identification; geometrical morphometric parameters; landmark extraction technology; mathematical morphology; morphological divergence; software product; species identification; standardized canonical discriminant functions; Cameras; Educational institutions; Feature extraction; Insects; Morphology; Veins; Tephritidae; discriminant analysis; landmark; mathematical morphology; morphological parameters; wing image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022371
  • Filename
    6022371