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作 者:李欣欣 任然 LI Xinxin;REN Ran(School of Software,Chongqing Institute of Engineering,Chongqing 400000,China)
出 处:《现代电子技术》2020年第7期62-65,69,共5页Modern Electronics Technique
基 金:重庆市教委科学技术研究项目:基于图论的图像处理技术在VR场景构建中的应用研究(KJQN201801906)。
摘 要:激光绘图仪成像过程中的图像处理技术是激光绘图仪图像输出精度的保障,因此对其进行深入研究。分析激光绘图仪成像原理后,通过图像加窗处理,截取220×220像素的图像,提升激光图像处理效率;采用基于核方法的自适应维纳滤波去噪算法对截取的激光图像进行降噪处理后,采用灰度值形态学方法提取图像边缘;在此基础上采用Radon尺度变换方法对激光图像进行RGB分解,获取激光图像几何结构纹理分布特征集合。经实验证明,采用所研究的图像处理技术得到的目标物体成像最小误差和最大误差分别为0.002 m和0.319 m,大大提高了成像精度,且具有较高的降噪性能和处理性能。The image processing technology in the imaging process is the guarantee of the laser plotter′image output precision,so the technology is studied in depth.On the basis of analyzing the imaging principle of the laser plotter,the image of 220×220 pixels is intercepted by image windowing to improve the efficiency of laser image processing,and the image edges are extracted by gray value morphology method after an adaptive Wiener filtering denoising algorithm based on the kernel method is adopted to perform denoising processing of the intercepted laser image.On this basis,the Radon scale transform method is used for RGB decomposition of the laser image to obtain the texture distribution feature set of the geometric structure of laser image.The experiment results show that the minimum error and maximum error of the target object imaging obtained with the proposed image processing technology are 0.002 m and 0.319 m respectively,which greatly improves the imaging accuracy,and is of higher denoising performance and processing performance.
关 键 词:图像处理技术 激光绘图仪 成像过程 图像降噪 图像边缘提取 RGB分解
分 类 号:TN911.73-34[电子电信—通信与信息系统] TP301[电子电信—信息与通信工程]
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