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作 者:姚星[1] YAO Xing(Henan University of Science and Technology,Luoyang Henan 471000,China)
机构地区:[1]河南科技大学,河南洛阳471000
出 处:《激光杂志》2021年第10期82-86,共5页Laser Journal
基 金:教育部青年基金项目(No.18YJC890031)。
摘 要:为消除低信噪比三维运动图像重构精度低以及重构后图像质量差的缺陷,研究基于激光技术的低信噪比三维运动图像重构方法。采用激光锁定成像原理获取低信噪比运动图像,采用中值滤波方法滤波处理低信噪比运动图像提升图像分辨率和图像重构效果,将完成滤波处理的运动图像通过阈值分割以及数字形态学处理两部分提取运动目标区域,其中数字形态学处理包括膨胀、腐蚀、开运算以及闭运算四部分,将所提取运动目标区域通过全变差的两步迭代收缩阈值重构方法实现运动图像的三维重构。实验结果表明,采用该方法重构三维运动图像,重构精度高于99%,信噪比均为25 d B以上。In order to eliminate the defects such as low precision and poor quality of reconstructed 3d moving image,a method of 3d moving image reconstruction with low SNR based on laser is studied. Locked laser imaging principle to obtain low SNR image motion,using median filter method to filter processing low SNR images enhance image resolution and image reconstruction effect,will complete filtering processing the movement of the image by threshold segmentation and extraction of digital morphology processing two parts moving target area,digital morphology processing including expansion,corrosion,opening operation and closing operation four parts,the moving target area is extracted by total variation by the two-step iterative threshold shrinkage refactoring can realize the three-dimensional reconstruction of images. The experimental results show that the reconstruction accuracy is higher than 99% and the signal-to-noise ratio( SNR) is above 25 dB.
分 类 号:TN209[电子电信—物理电子学]
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