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

机译：地标提取技术在果蝇鉴定中的研究（双翅目：蝇科）

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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%.

机译：数学形态学的应用已加速识别包括昆虫在内的物种。在这项研究中，我们使用TpsDig（一种用于特征提取的软件产品）在来自四种果蝇（Bactrocera dorsalis，B。cucurbitae，B。tau，B。scutellata）的机翼样本的数字图像上，以坐标值定位17个地标。）。评估了22个几何形态参数，以分析这4个物种之间的形态差异。制定了三个标准化的规范判别函数：Y 1 = − 0.114X 1 + 1.121X 2 + 0.613X 3 −0.067X 4 −0.019X 5 ，Y 2 = 0.515X 1 −0.001X 2 + 1.379X 3 −2.242X 4 −0.795X 5 ，并且Y 3 = 0.962X 1 + 0.071X 2 + 0.589X 3 + 0.091X 4 −0.780X 5 。证明样品在物种识别中的正确率可以达到98.1％。

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《2011 Seventh International Conference on Natural Computation》|2011年|p.1681-1685|共5页
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Wang Lu; Gao Lingwang; Shen Zuorui; Huang Lili; Qian Xing;
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中图分类理论、方法;
关键词
Tephritidae; discriminant analysis; landmark; mathematical morphology; morphological parameters; wing image;

机译：eph科;判别分析;地标;数学形态学;形态学参数;机翼图像;

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

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