摘要
目的:对高速摄像得到的入水空泡影像图片进行空泡轮廓提取,定量分析入水空泡形态和特征。方法:前期利用图像增强技术对入水空泡图像进行预处理,利用Canny边缘检测算子对预处理得到的图像进行空泡边缘坐标提取,最终完成对入水空泡的形态特征计量。结果:通过对小球入水实验入水空泡图像进行边缘轮廓处理,算法计算结果与实验数据误差保持在2.5%以下,验证了空泡边缘检测技术的可行性。利用空泡边缘检测技术对小球入水空泡以及圆柱入水空泡边缘坐标进行了提取并进一步定量分析了入水空泡的形态特征。结论:入水空泡边缘检测技术在应用中效果良好,可以定量提取入水空泡边缘轮廓坐标。
Aims:This paper aims to extract the cavity profile and to quantitatively analyze the morphology and characteristics of the water-entry cavity images obtained by high-speed photography.Methods:The water-entry cavity images were prepreocessed with image enhancement techniques;and the Canny edge detection operator was used to extract the cavity edge coordinates of the images.Finally,the morphological characteristics of the water-entry cavity were measured.Results:The feasibility of the cavity edge detection technology was verified by processing the edge contour of the cavity image of the water-entry cavity experiment of spheres;and the error between the calculation results and the experimental data was kept below 2.5%.The edge coordinates of the water-entry cavity of sphere and cylinder were extracted;and their morphological characteristics were quantitatively analyzed by using the technique of cavity edge detection.Conclusions:The edge detection technique of water-entry cavity has good effect in application and can quantitatively extract the contour coordinates of the water-entry cavity edge.
作者
郑葳
段金雄
孙铁志
ZHENG Wei;DUAN Jinxiong;SUN Tiezhi(National Institute of Metrology,Beijing 100029,China;Dalian University of Technology,School of Naval Architecture&Ocean Engineering,Dalian 116024,China)
出处
《中国计量大学学报》
2023年第2期163-171,223,共10页
Journal of China University of Metrology
基金
国家自然科学基金项目(No.52071062)。
关键词
计量学
入水空泡
图像边缘检测
空泡形态
坐标提取
metrology
water-entry cavity
image edge detection
cavity morphology
coordinate extraction