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作 者:郭强[1] GUO Qiang(Shangqiu University,Shangqiu Henan 476000,China)
机构地区:[1]商丘学院,河南商丘476000
出 处:《激光杂志》2021年第6期78-82,共5页Laser Journal
基 金:河南省高等学校重点科研项目计划(No.20B520026)。
摘 要:为解决光通信网络下运动图像轮廓像素点损坏较为严重问题,研究光通信网络下运动图像轮廓像素点修复方法,基于光通信网络下运动图像的通信光路选取圆偏振光传输图像信息,利用减背景预处理、局部动态阈值分割两部分预处理光通信网络下运动图像提升图像质量,对预处理后图像建立动态轮廓线动力学方程,基于动力学方程采用动态轮廓线的迭代收敛算法提取图像轮廓像素点,采用FCMC算法自动鉴别光通信网络下运动图像轮廓像素点损坏区域,采用拓扑梯度方法检测损坏区域连续轮廓,确定最小修复路径后,以峰值信噪比为评估指标,通过图像修复反馈机制修复图像轮廓像素点,获取修复后重构图像。实验结果表明,该方法可有效修复光通信网络下运动图像轮廓像素点,修复效率高,修复后图像信噪比均高于40 d B,且具有较高的实时性。For solving damage of optical communication network under the motion image contour pixels is relatively serious,researchers studied the optical communication network under the motion image contour pixels to repair method.Based on the optical communication network under the motion image communication optical path selection circularly polarized light transmission image information,the local dynamic threshold segmentation using subtract background pre-processing and two parts of pre-processing optical communication network under the motion image enhance image quality.A dynamic contour of image after pre-treatment dynamics equation,based on the dynamic equation of dynamic contour iteration convergence algorithm to extract image contour pixels.FCMC algorithm was used to automatically identify the damaged area of the moving image contour pixel points in the optical communication network,and topological gradient method was used to detect the continuous contour of the damaged area.After determining the minimum repair path,the peak signal-to-noise ratio(SNR)was used as the evaluation index,and the image contour pixel points were repaired by the image repair feedback mechanism to obtain the reconstructed image.Experimental results show that this method can effectively repair the moving image contour pixel points in optical communication network,and the restoration efficiency is high.After the restoration,the SNR of the image is higher than 40dB,and it has a high realtime performance.
分 类 号:TN249[电子电信—物理电子学]
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