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Study of Image Denoising in Robot Visual Navigation System 被引量:1

Study of Image Denoising in Robot Visual Navigation System
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摘要 In the technique of robot-assisted invasive surgery, high quality image is a key factor of the visual navigation system. In this paper, the authors have made a study of the image processing in visual system. Based on the analysis of plentiful demising methods, they proposed a new method (S-AM-W) which oxnbines Adaptive Median filter and Wioaer filter to renmve the main noises (Salt & Pepper noise and Gattssian noise). The sinlflation results show that it is simple, well real time, and has high Peak Signal-to-Noise Ratio (PSNR). It was found that the new method is effective and efficient in dealing with medical image of background noise.
作者 宁袆 马万军
出处 《Journal of Measurement Science and Instrumentation》 CAS 2011年第1期21-24,共4页 测试科学与仪器(英文版)
基金 supported by the Henan Province Innovation and Technology Fund for Outstanding Scholarship(0421000500) the Key Scientific Research Projects of Henan University of Technology(09XZD008) the support of the Chinese National Programs for Hi-Tech R&D(2007AA704339)
关键词 visual navigation adaptite median filter siener filter PSNR 视觉导航系统 图像去噪 机器人 自适应中值滤波 信号噪声比 微创手术 图像处理 视觉系统
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