机器视觉耦合图案匹配的纳米图像特征自动测量与统计算法研究

摘要

Accordingtotheproblemofnanoimagesthattheyaretinyinsizeanddifficulttomeasureandcount,inthispaperweproposed machine vision measurement operator;and according to the feature of targetsshapes,we introduced patterns matching,and designed the au-tomatic measurement and statistics algorithm with the fusion of them two for nano images feature.Based on the morphological and area features of nano image,we implemented the machine vision-based target segmentation.Moreover,we embedded the patterns matching.By analysing the target shapes and weeding out the interference of impurity,we solved the problem of nano images in being difficult to automatically meas-ure and count.Simulation experiment demonstrated that the algorithm reached good effect in automatic measurement and counting of nano im-age feature.%针对纳米图像微小、难以测量和统计等难题，提出机器视觉测量算法。根据目标形状特征，引入图案匹配，设计二者相融合的纳米图像特征自动测量与统计算法。根据纳米图像的形态和面积特征，实现基于机器视觉的目标分割；并嵌入图案匹配，分析目标形状，剔除杂质干扰，解决纳米图像难以自动测量和统计的问题。仿真实验表明，该算法在纳米图像特征自动测量与统计上可以达到较好的效果。