Edge-preserving Filtering and Fuzzy Image Enhancement in Depth Images Captured by Realsense Cameras in Robotic Applications
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-pres...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2020-08-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2020.03010 |
| Summary: | 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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| ISSN: | 1582-7445 1844-7600 |