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
Link To Document :
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