›› 2003, Vol. 46 ›› Issue (2): 201-208.
• RESEARCH PAPERS • Previous Articles Next Articles
ZHAO Han-Qing1, SHEN Zuo-Rui1**, YU Xin-Wen2
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Abstract: Statistical analyses of 11 math morphological features (MMF) (such as area, perimeter, etc.) from images of 23 species of insects from the Lepidopter a and Coleoptera families Noctuoidea, Bombycoidea, Papilionoidea, Scarabaeoidea and Chrysomeloidea indicates that the ranked reliability of MMF in the identification of insect superfamilies is, from high to low: circularity>(area, perimeter, X-length, sphericity, roundness, eccentricity)>(Ylength, lobation)>(form factor, hole number). From the perspective of mathematical morphology, the kinship of three superfamilies can be ranked as follows: Noctuoidea & Papilionoidea>Bombycoidea & Papilionoidea>Noctuoidea & Bombycoidea.
Key words: Mathmorphological feature(MMF), insect classification, computer vision technology, superfamily
ZHAO Han-Qing1, SHEN Zuo-Rui1**, YU Xin-Wen2. Use of mathmorphological features in insect taxonomy. Ⅱ. At superfamily level[J]., 2003, 46(2): 201-208.
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http://www.insect.org.cn/EN/Y2003/V46/I2/201
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