【摘要】 液体的物理化学性质直接影响到其液滴生长,提出基于CCD的图像液滴分析方法。该方法通过CCD摄像机实时监测液滴生长过程中的轮廓变化情况,经图像处理系统对液滴图像进行预处理、分割和特征提取。提取了面积、周长、液滴长度、矩形度和圆形度等液滴轮廓特征参数,并用主成分分析(PCA)法对这5项指标进行了分析。结合实验,说明了该方法用于液体分析和鉴别的可行性。更多还原

【Abstract】 A new method to analyse liquid drop images based on CCD is introduced in this paper,which overcomes the limitations of fiber and the capacitive drop analysis method,and enhances the discrimination ability of liquid drop analysis technology.The instant liquid drop profile during its growth is monitored by CCD camera real-timely,and the collected images are processed and the feature extraction is realized after image processing.The region area,boundary perimeter,drop length,satiety,circularity,and the profile edge of the liquid drop image are extracted and analyzed with principal component analysis(PCA).The feasibility of image liquid drop analysis technology is proved with experiments.更多还原