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  • 标题:Edge-preserving Filtering and Fuzzy Image Enhancement in Depth Images Captured by Realsense Cameras in Robotic Applications
  • 本地全文:下载
  • 作者:V. TADIC ; A. ODRY ; E. BURKUS
  • 期刊名称:Advances in Electrical and Computer Engineering
  • 印刷版ISSN:1582-7445
  • 电子版ISSN:1844-7600
  • 出版年度:2020
  • 卷号:20
  • 期号:3
  • 页码:83-92
  • DOI:10.4316/AECE.2020.03010
  • 出版社:Universitatea "Stefan cel Mare" Suceava
  • 摘要:This paper presents both the use of depth cameras in robotic applications and effects of post-processing on the captured depth images. The performance of depth cameras and post-processing image enhancement are evaluated with the aim to improve the depth-based object detection. First, the edge-preserving exponential moving average (EMA) filter and the fuzzy contrast enhancement procedures are briefly introduced. Then, the use of depth cameras with post-processing methods is shown in the example of painting robots. The use of the stereo depth camera is essential in robotic applications, since it constitutes the initial steps in a series of robotic operations, where the goal is to both detect and extract obstacles on walls that are not intended to be painted.
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