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利用翅的数学形态特征对蛾类昆虫进行分类鉴定的系统研究Ⅰ——在总科级阶元上的应用

蔡小娜 黄大庄 沈佐锐 王志刚 高灵旺

中国农业大学学报2013,Vol.18Issue(4):96-104,9.
中国农业大学学报2013,Vol.18Issue(4):96-104,9.DOI:10.11841/j.issn.1007-4333.2013.04.15

利用翅的数学形态特征对蛾类昆虫进行分类鉴定的系统研究Ⅰ——在总科级阶元上的应用

Systematic research on the classification of moths using math-morphological characters of wings Ⅰ :Superfamily level

蔡小娜 1黄大庄 2沈佐锐 1王志刚 2高灵旺1

作者信息

  • 1. 河北农业大学林学院,河北保定071000
  • 2. 中国农业大学农学与生物技术学院,北京100193
  • 折叠

摘要

Abstract

This paper is concerned on the superfamily level classification of moths which are harmful to agriculture and forestry,by using math-morphological characters(MMCs) of the wings.Twenty six MMCs were selected for being invariant to the image size and direction,such as eccentricity,sphericity,lobation,roundness,rectangularity,elongation and movement invariants including Hu1 and Hu2.These MMCs were extracted from the images of right forewing and right hindwing of forty moths (five superfamilies).By using the methods,including variance analysis,stepwise discriminant analysis and cluster analysis,each MMC was evaluated on the feasibility,reliability and importance in classification of the moths at superfamily level.The relationships among the moths at superfamily level were described from the perspective of mathematical morphology.The analytic results showed that six MMCs could be selected as the classification variables at superfamily level.The contribution of these variables were ranked as followings of (FWrectangularity,FW-Hu5,HW-eccentricity) > HW-roundness > (HW-rectangularity,HW-Hu5).Accuracies resulting from the regression and the intersecting discriminant analysis were 100.0% and 97.5%,respectively.

关键词

/形态特征/数字鉴定/亲缘关系/总科级阶元

Key words

moths/ morphological character/ digital identification/ phylogenetic relationship/ superfamily

分类

生物科学

引用本文复制引用

蔡小娜,黄大庄,沈佐锐,王志刚,高灵旺..利用翅的数学形态特征对蛾类昆虫进行分类鉴定的系统研究Ⅰ——在总科级阶元上的应用[J].中国农业大学学报,2013,18(4):96-104,9.

基金项目

河北省自然科学基金项目(C2012204008) (C2012204008)

国家948项目(2013-4-75) (2013-4-75)

中国农业大学学报

OA北大核心CSCDCSTPCD

1007-4333

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