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为探讨蛾翅数学形态特征(MMC)在夜蛾科分类鉴定中的可行性,本文利用数字化技术获得和处理昆虫图像,对鳞翅目夜蛾科6种夜蛾的右前翅提取矩形度、延长度、叶状性、偏心率、球状性、似圆度和不变矩Hu1、Hu2等13项与大小尺度和方向均无关的数学形态特征,并利用方差分析、逐步判别分析和聚类分析等方法研究了各项数学形态特征在昆虫分类上作为分类特征的可行性、可靠性和重要性,并且从数学形态学角度对夜蛾科6个种的亲缘关系进行了分析。分析结果认为矩形度和延长度2个形态特征对这6种夜蛾的分类鉴定没有显著意义,从而筛选出11个形态特征作为分类变量,它们的作用大小依次为:(偏心率、Hu5、Hu7)>Hu2>似圆度>球状性>Hu3>(叶状性、Hu1、Hu6)>Hu4。利用蛾翅的这些特征参数成功地实现了对夜蛾科6种夜蛾的分类鉴定,基于这些特征参数的6种夜蛾的亲缘关系远近与基于传统形态学的系统进化观点相同。研究表明蛾翅数学形态特征可应用于蛾类昆虫的快速鉴定,为未来逐步实现蛾类昆虫的自动识别奠定了基础。
In order to explore the feasibility of Moth-wing mathematical morphology (MMC) in the classification and identification of Noctuidae, digital images were used to obtain and process insect images. Degree, leafiness, eccentricity, globularity, circularity and moment invariant Hu1, Hu2 and so on 13 have nothing to do with the size and direction of mathematical morphology, and use of variance analysis, step by step discriminant analysis and cluster analysis Methods The feasibility, reliability and importance of various mathematical morphological features as taxonomic features in insect taxonomy were studied. The genetic relationships among 6 species of Helminthidae were analyzed from the perspective of mathematical morphology. The results showed that the two morphological characters of rectangle degree and extension had no significant significance on the classification and identification of the six species of C. elegans, and eleven morphological traits were selected as the categorical variables. The order of their functions was as follows: (eccentricity, Hu5, Hu7 )> Hu2> circularity> sphericalness> Hu3> (leafiness, Hu1, Hu6)> Hu4. Based on these characteristic parameters of moth fin, the classification and identification of six species of noctuids from noctuidae were successfully accomplished. The phylogenetic relationships of six species of noctuids based on these characteristic parameters are the same as those based on traditional morphological evolution. Studies have shown that the morphological characteristics of moth-wing mathematical morphology can be applied to the rapid identification of moth insects, which will lay the foundation for the gradual realization of automatic identification of moth insects in the future.