引用本文:陈雪燕,余雷,费树岷.切换滤波方法在深度图像噪声处理中的应用[J].控制理论与应用,2019,36(6):975~982.[点击复制]
CHEN Xue-yan,YU Lei,FEI Shu-min.Switching filtering method with its application of depth image noise processing[J].Control Theory and Technology,2019,36(6):975~982.[点击复制]
切换滤波方法在深度图像噪声处理中的应用
Switching filtering method with its application of depth image noise processing
摘要点击 2006  全文点击 816  投稿时间：2017-11-02  修订日期：2018-06-22
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DOI编号  10.7641/CTA.2018.70798
  2019,36(6):975-982
中文关键词  深度图像  混合噪声  切换系统  滤波  实时性
英文关键词  depth image  mixed noise  switching system  filter  real-time
基金项目  国家自然科学基金（No. 61403268）, 中央高校基本科研业务费专项资金资助（No. 30918014108）, 安徽省工业节电与电能质量控制协同创新中心开放课题基金资助（No.KFKT201806）, 江苏省高校自然科学研究面上项目资助（No. 16KJB120005）, 苏州市科技计划资助（No. SYG201639）.
作者单位邮编
陈雪燕 苏州大学 215021
余雷* 苏州大学 215000
费树岷 东南大学 
中文摘要
      基于Kinect深度图像的互动投影系统受到多种混合噪声干扰。单一的滤波方法只针对特定噪声，往往难以取得很好的效果，通常要将几种滤波方法联合使用。一般的联合滤波虽然可以保证图像的精确度，但算法复杂度高、耗时较长，影响了互动投影系统的实时性。针对上述矛盾，本文首次将切换系统方法引入到数字图像滤波领域，提出了一种随机切换滤波算法，并将其应用到实际的互动感投影系统中。实验结果表明，切换滤波算法既能很好地去除噪声，又能保证跟踪的实时性，达到了良好的目标跟踪效果，可以广泛应用于各种图像滤波处理系统中。
英文摘要
      The interactive projection system based on the depth image acquired by Kinect suffers from a variety of noise interferences. A single filtering method is only for specific noise, and it is difficult to obtain good results. Therefore, it is common to combine several filtering methods for filtering the mixed noise. Although the general sum filter can ensure the accuracy of the image, the algorithm has high complexity and takes a long time, which affects the real-time performance of the interactive projection system. In view of the above contradiction, the switching system method is introduced into the field of digital image filtering, an arbitrary switching filter algorithm is proposed, and it is applied on the actual interactive projection system. The experimental results show that the switching filter algorithm can not only remove the noise well, but also guarantee the real-time tracking performance, and achieve a good target tracking effect. The algorithm can be widely used in various image filtering processing systems.