粒子图像分割及匹配均为自行编制的子例程，ICA（主分量分析）算法和程序，时间序列数据分析中的梅林变换工具，D-S证据理论数据融合，用于特征降维，特征融合，相关分析等,是小学期课程设计的题目，是本科毕设的题目。- Particle image segmentation and matching subroutines themselves are prepared, ICA (Principal Component Analysis) algorithm and procedures, Time series data analysis Mellin transform tool, D-S evidence theory data fusion, For feature reduction, feature fusion, correlation analysis, Is the topic of the elementary school stage curriculum design, The title of the commercial is undergraduate course yo.