Author Affiliations
Abstract
1 School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an 710072, China
2 Institute of Optics and Quantum Electronics, Abbe Center of Photonics, Friedrich Schiller University, 07743 Jena, Germany
3 Helmholtz Institute Jena, 07743 Jena, Germany
In this study, we propose an underwater ghost-imaging scheme using a modulation pattern combining offset-position pseudo-Bessel-ring (OPBR) and random binary (RB) speckle pattern illumination. We design the experiments based on modulation rules to order the OPBR speckle patterns. We retrieve ghost images by OPBR beam with different modulation speckle sizes. The obtained ghost images have a better contrast-to-noise rate compared to RB beam ghost imaging under the same conditions. We verify the results both in the experiment and simulation. In addition, we also check the image quality at different turbidities. Furthermore, we demonstrate that the OPBR speckle pattern also provides better image quality in other objects. The proposed method promises wide applications in highly scattering media, atmosphere, turbid water, etc.
ghost imaging underwater Bessel speckle Chinese Optics Letters
2023, 21(8): 081101
1 华北理工大学电气工程学院, 河北 唐山 063210
2 华北理工大学矿业工程学院, 河北 唐山 063210
受颗粒碰撞、机械搅拌等因素的影响,运动上升的浮选气泡会产生严重的偏转与形变。对此,提出一种用于测量气泡的体积和表面积的水平置位分割方法。建立了浮选工艺过程中运动气泡的观测系统,采集气泡图像。利用基于区域分割的边缘检测方法提取气泡边缘。针对重叠气泡,使用曲率尺度空间角点检测算法和方向链码标记凹点,以此分割重叠的轮廓,最小二乘拟合重建独立气泡的边缘。根据边缘计算气泡的偏转角度,自适应选取分割间隔。通过各分割部分的计算,累加得到气泡的体积和表面积。实验表明:所提取的边缘准确,不易受光照环境的影响。在不同搅拌速率条件下,测量气泡体积的平均误差与标准差分别为4.52%和0.057 mm
3。与其他方法相比,本文方法精度较高。
机器视觉 气泡体积和表面积 边缘提取 矿物浮选 光学学报
2018, 38(12): 1215009
