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-preser...

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Published inAdvances in Electrical and Computer Engineering Vol. 20; no. 3; pp. 83 - 92
Main Authors TADIC, V., ODRY, A., BURKUS, E., KECSKES, I., KIRALY, Z., ODRY, P.
Format Journal Article
LanguageEnglish
Published Suceava Stefan cel Mare University of Suceava 01.08.2020
Subjects
Algorithms
Cameras
Datasets
Experiments
filtering algorithms
fuzzy logic
Fuzzy sets
Image enhancement
Image filters
Noise
Object recognition
Post-processing
Robotics
Robots
Semiconductor industry
stereo vision
United States
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ISSN1582-7445
1844-7600
DOI10.4316/AECE.2020.03010

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Abstract 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 postprocessing 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. Index Terms--filtering algorithms, fuzzy logic, image enhancement, robots, stereo vision.
AbstractList 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.
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 postprocessing 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. Index Terms--filtering algorithms, fuzzy logic, image enhancement, robots, stereo vision.
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 postprocessing 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.
Audience Academic
Author ODRY, A.
ODRY, P.
BURKUS, E.
KIRALY, Z.
TADIC, V.
KECSKES, I.
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Cites_doi 10.1117/1.JEI.24.5.051008
10.1109/TIP.2017.2665975
10.1017/S0263574715000673
10.1016/S0031-3203(99)00096-5
10.12988/ces.2020.91454
10.1016/j.engappai.2015.09.009
10.3390/s19030489
10.1109/ACCESS.2018.2872116
10.3390/rs11060633
10.1007/s10916-018-0905-x
10.4316/AECE.2011.04003
10.1109/TIP.2019.2908778
10.1007/s11263-007-0071-y
10.4316/AECE.2019.03002
10.1080/00224065.1986.11979014
10.12700/APH.17.1.2020.1.4
10.1145/2010324.1964964
10.3390/sym11030395
10.1109/MRA.2018.2816972
10.1109/ACCESS.2020.2995553
10.1109/TFUZZ.2003.814830
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References Carfagni (10.3390/s19030489) 2019; 19
Van De Ville (10.1109/tfuzz.2003.814830) 2003; 11
Abiko (10.1109/ICASSP.2019.8683544) 2019
NING (10.4316/AECE.2019.03002) 2019; 19
Kecskes (10.1017/S0263574715000673) 2017; 35
Tadic (10.1109/ACCESS.2020.2995553) 2020; 8
Iqbal (10.3390/sym11030395) 2019; 11
Cheng (10.1016/s0031-3203(99)00096-5) 2000; 33
Mohammed Salih (10.1109/ACCESS.2018.2872116) 2018; 6
Hunter (10.1080/00224065.1986.11979014) 2018; 18
Siena (10.1007/s10916-018-0905-x) 2018; 42
Huang (10.1109/CACS.2013.6734114) 2013
RISTIC-DURRANT (10.4316/AECE.2011.04003) 2011; 11
Saxena (10.1007/s11263-007-0071-y) 2007; 76
Keselman (10.1109/cvprw.2017.167) 2017
Tadic (10.12700/APH.17.1.2020.1.4) 2020; 17
Parihar (10.1109/TIP.2017.2665975) 2017; 26
Sterzentsenko (10.1109/SITIS.2018.00038) 2018
Tadic (10.1016/j.engappai.2015.09.009) 2016; 48
Choi (10.3390/rs11060633) 2019; 11
Reich (10.5220/0006509000850094) 2018
Hu (10.1109/CAC.2017.8244068) 2017
Javan Hemmat (10.1117/1.JEI.24.5.051008) 2015; 24
Carey (10.1109/WACV.2017.146) 2017
Flacco (10.1109/icra.2012.6225245) 2012
Asadi (10.1109/MRA.2018.2816972) 2018; 25
Tadic (10.12988/ces.2020.91454) 2020; 13
Zhu (10.1109/TIP.2019.2908778) 2019; 28
Parihar (10.1109/ISS1.2017.8389246) 2017
Gastal (10.1145/2010324.1964964) 2011; 30
References_xml – volume: 24
  start-page: 051008
  year: 2015
  ident: 10.1117/1.JEI.24.5.051008
  publication-title: Journal of Electronic Imaging
  doi: 10.1117/1.JEI.24.5.051008
– volume: 26
  start-page: 1810
  year: 2017
  ident: 10.1109/TIP.2017.2665975
  publication-title: IEEE Transactions on Image Processing
  doi: 10.1109/TIP.2017.2665975
– volume: 35
  start-page: 419
  year: 2017
  ident: 10.1017/S0263574715000673
  publication-title: Robotica
  doi: 10.1017/S0263574715000673
– volume: 33
  start-page: 809
  year: 2000
  ident: 10.1016/s0031-3203(99)00096-5
  publication-title: Pattern Recognition
  doi: 10.1016/S0031-3203(99)00096-5
– volume: 13
  start-page: 149
  year: 2020
  ident: 10.12988/ces.2020.91454
  publication-title: Contemporary Engineering Sciences
  doi: 10.12988/ces.2020.91454
– volume: 48
  start-page: 40
  year: 2016
  ident: 10.1016/j.engappai.2015.09.009
  publication-title: Engineering Applications of Artificial Intelligence
  doi: 10.1016/j.engappai.2015.09.009
– start-page: 7151
  year: 2017
  ident: 10.1109/CAC.2017.8244068
– volume: 19
  start-page: 489
  year: 2019
  ident: 10.3390/s19030489
  publication-title: Sensors
  doi: 10.3390/s19030489
– volume: 6
  start-page: 58794
  year: 2018
  ident: 10.1109/ACCESS.2018.2872116
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2872116
– start-page: 85
  year: 2018
  ident: 10.5220/0006509000850094
– volume: 11
  start-page: 633
  year: 2019
  ident: 10.3390/rs11060633
  publication-title: Remote Sensing
  doi: 10.3390/rs11060633
– start-page: 1268
  year: 2017
  ident: 10.1109/WACV.2017.146
– volume: 42
  start-page: 871
  year: 2018
  ident: 10.1007/s10916-018-0905-x
  publication-title: Journal of Medical Systems
  doi: 10.1007/s10916-018-0905-x
– volume: 11
  start-page: 15
  year: 2011
  ident: 10.4316/AECE.2011.04003
  publication-title: Advances in Electrical and Computer Engineering
  doi: 10.4316/AECE.2011.04003
– start-page: 200
  year: 2018
  ident: 10.1109/SITIS.2018.00038
– volume: 28
  start-page: 3556
  year: 2019
  ident: 10.1109/TIP.2019.2908778
  publication-title: IEEE Transactions on Image Processing
  doi: 10.1109/TIP.2019.2908778
– volume: 76
  start-page: 53
  year: 2007
  ident: 10.1007/s11263-007-0071-y
  publication-title: International Journal of Computer Vision
  doi: 10.1007/s11263-007-0071-y
– start-page: 1877
  year: 2019
  ident: 10.1109/ICASSP.2019.8683544
– start-page: 625
  year: 2017
  ident: 10.1109/ISS1.2017.8389246
– volume: 19
  start-page: 11
  year: 2019
  ident: 10.4316/AECE.2019.03002
  publication-title: Advances in Electrical and Computer Engineering
  doi: 10.4316/AECE.2019.03002
– volume: 18
  start-page: 203
  year: 2018
  ident: 10.1080/00224065.1986.11979014
  publication-title: Journal of Quality Technology
  doi: 10.1080/00224065.1986.11979014
– volume: 17
  start-page: 61
  year: 2020
  ident: 10.12700/APH.17.1.2020.1.4
  publication-title: Acta Polytechnica Hungarica
  doi: 10.12700/APH.17.1.2020.1.4
– volume: 30
  start-page: 1
  year: 2011
  ident: 10.1145/2010324.1964964
  publication-title: ACM Transactions on Graphics
  doi: 10.1145/2010324.1964964
– start-page: 338
  year: 2012
  ident: 10.1109/icra.2012.6225245
– start-page: 1267
  year: 2017
  ident: 10.1109/cvprw.2017.167
– start-page: 97
  year: 2013
  ident: 10.1109/CACS.2013.6734114
– volume: 11
  start-page: 395
  year: 2019
  ident: 10.3390/sym11030395
  publication-title: Symmetry
  doi: 10.3390/sym11030395
– volume: 25
  start-page: 82
  year: 2018
  ident: 10.1109/MRA.2018.2816972
  publication-title: IEEE Robotics & Automation Magazine
  doi: 10.1109/MRA.2018.2816972
– volume: 8
  start-page: 96706
  year: 2020
  ident: 10.1109/ACCESS.2020.2995553
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2995553
– volume: 11
  start-page: 429
  year: 2003
  ident: 10.1109/tfuzz.2003.814830
  publication-title: IEEE Transactions on Fuzzy Systems
  doi: 10.1109/TFUZZ.2003.814830
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Snippet 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...
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SubjectTerms Algorithms
Cameras
Datasets
Experiments
filtering algorithms
fuzzy logic
Fuzzy sets
Image enhancement
Image filters
Noise
Object recognition
Post-processing
Robotics
Robots
Semiconductor industry
stereo vision
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Title Edge-preserving Filtering and Fuzzy Image Enhancement in Depth Images Captured by Realsense Cameras in Robotic Applications
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