兰州大学机构库
An Adaptive Noise Reduction Method for Depth Data Based on the Pulse-Coupled Neural Network
X. Li; W. Wang
2024-04-22
Source Publication2024 4th International Conference on Neural Networks, Information and Communication (NNICE)   Impact Factor & Quartile Of Published Year  The Latest Impact Factor & Quartile
Conference Name4th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2024
Conference DateJanuary 19, 2024 - January 21, 2024
Pages1360-1365
AbstractThe paper proposed a noise reduction algorithm for depth data affected by noise, leveraging the Pulse-Coupled Neural Network in conjunction with an adaptive weighted median filtering approach. This method initiates the process by identifying noise points within the depth data using PCNN. Subsequently, it determines the coordinates of the filter window based on the locations of these noise points. Varied weights are then assigned in accordance with the quantity of noise data present within the filtering window. Ultimately, the weighted median filtering method is employed to process the noise data within the window, facilitating adaptive noise reduction. Experimental results illustrate that this innovative noise reduction algorithm outperforms the classic median filter algorithm across a range of noise intensities. Furthermore, it demonstrates exceptional noise reduction performance while demanding minimal computational resources.
Keywordcomponent: Depth Data Noise Reduction PCNN Adaptive Weighted Filtering
PublisherIEEE
DOI10.1109/NNICE61279.2024.10498448
Indexed ByIEEE ; EI
Language英语
Funding OrganizationIEEE
EI Accession Number20242016076570
EI KeywordsNoise abatement
EI Classification Number703.2 Electric Filters ; 716.1 Information Theory and Signal Processing ; 723.2 Data Processing and Image Processing ; 751.4 Acoustic Noise
Original Document TypeConference article (CA)
Conference PlaceHybrid, Guangzhou, China
Citation statistics
Document Type会议论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/588985
Collection兰州大学
信息科学与工程学院
Affiliation
1.School of Information Science & Engineering, Lanzhou University, Lanzhou, China
2.School of Information Science & Engineering, Lanzhou University, Lanzhou, China
Recommended Citation
GB/T 7714
X. Li,W. Wang. An Adaptive Noise Reduction Method for Depth Data Based on the Pulse-Coupled Neural Network[C],2024:1360-1365.
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