基于形状特征的脱绒棉种品种识别

该文以中棉50、新陆早26、新陆早33棉花品种为研究对象，基于图像处理技术提取了脱绒棉种的面积周长类、最大径类、椭圆类和区域矩类共14个形状特征参数，并运用多元统计分析方法，利用统计学中的集中趋势指标与离散程度指标对数据进行分析，将综合特征指标作为品种判别的参数；利用SPSS软件，用逐步判别分析法建立了3个品种的识别模型，得出3个线性分类函数，经验证，预测组成员中，中棉50、新陆早26和新陆早33的正确率分别为90%，80%，100%，判别效果显著。

Cotton seeds varieties identification based on shape features

A total of 14 shape characteristic parameters including the perimeter area, the maximum diameter, Elliptic and regional from cotton50, Xinluzao26, Xinluzao33 were investigated based on image processing, central tendency and dispersion of multivariate statistical analysis. The parameters were then used as the index of species identification. With step discrimination analysis methods of the SPSS, the identification model was established for three varieties, and three linear classification function were obtained. Through verification, the detecting accuracy of the forecasting group, including cotton50, Xinluzao26 and Xinluzao33, were 90%, 80% and 100% respectively. The results show that the recognition rate of these three cotton seeds is high.