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An Innovative Cloud Based Approach of Image Segmentation for Noisy Images using DBSCAN Scheme

Manish Joshi, Bhumika Gupta, Rajendra Belwal, Ambuj Agarwal
2020 EAI Endorsed Transactions on Cloud Systems  
We estimate the values of similarity matrices for segmented images to assess the similarity between original and segmented images which is essential to sustained the loading of segmented images in cloud  ...  Partitioning a picture is an imperative idea in picture preparation. Partitioned pictures are fundamental for various picture preparing techniques.  ...  Acknowledgement I am extremely obliged to my seniors and family members for their unceasing motivation to undertake this research work.  ... 
doi:10.4108/eai.26-10-2020.166768 fatcat:keyt74l3mvf7rhdczu7qwc54tq

A robust three-stage approach to large-scale urban scene recognition

Jinglu Wang, Yonghua Lu, Jingbo Liu, Long Quan
2017 Science China Information Sciences  
First, we develop a joint semantic labeling method to obtain a semantic labeling of the triangular mesh-based representation by exploiting both image features and geometric features.  ...  This abstraction algorithm also leverages CRF formation to partition building footprints into minimal sets of structural linear features which are then used to construct profiles for large-scale scenes  ...  The responsibility for scientific accuracy and content remains entirely with the authors.  ... 
doi:10.1007/s11432-017-9178-8 fatcat:cs7viahb3rbghhdh7mrbj2ml7e

Application of Deep Learning on Millimeter-Wave Radar Signals: A Review

Fahad Jibrin Abdu, Yixiong Zhang, Maozhong Fu, Yuhan Li, Zhenmiao Deng
2021 Sensors  
Furthermore, we give an extensive review of the recent deep learning-based multi-sensor fusion models exploiting radar signals and camera images for object detection tasks.  ...  We have itemized the review based on different radar signal representations, as it is one of the critical aspects while using radar data with deep learning models.  ...  segmentation using camera images or Lidar point clouds.  ... 
doi:10.3390/s21061951 pmid:33802217 pmcid:PMC7999239 fatcat:4sek2e2parf2vpfatqhe7m5sjy

Correlation analysis framework for localization-based superresolution microscopy

Joerg Schnitzbauer, Yina Wang, Shijie Zhao, Matthew Bakalar, Tulip Nuwal, Baohui Chen, Bo Huang
2018 Proceedings of the National Academy of Sciences of the United States of America  
Here, we propose a conceptual framework for correlation analysis of coordinatebased superresolution images using distance histograms.  ...  (10, 12, 13), image-based drift correction (14, 15), and aligning superresolution images of individual structures (7, 16), although most of these cases still used spatial binning of the super-resolved  ...  assistance in image alignment using the RELION software.  ... 
doi:10.1073/pnas.1711314115 pmid:29531072 fatcat:gvpdlevoa5dhtnt2ouhhllnbiu

Pointillism

Kshitiz Bansal, Keshav Rungta, Siyuan Zhu, Dinesh Bharadia
2020 Proceedings of the 18th Conference on Embedded Networked Sensor Systems  
Autonomous perception requires high-quality environment sensing in the form of 3D bounding boxes of dynamic objects. The primary sensors used in automotive systems are light-based cameras and LiDARs.  ...  We introduce a novel concept of Cross Potential Point Clouds, which uses the spatial diversity induced by multiple radars and solves the problem of noise and sparsity in radar point clouds.  ...  Acknowledgements-We thank our shepherd, anonymous reviewers, and all WCSNG lab members for their valuable suggestions and feedback.  ... 
doi:10.1145/3384419.3430783 dblp:conf/sensys/BansalRZB20 fatcat:m3sk32a3bzdy3j22clwqnxdfyu

A Comparison and Review of Surface Detection Methods Using MBL, MABEL, and ICESat-2 Photon-Counting Laser Altimetry Data

Huan Xie, Qi Xu, Dan Ye, Jianghao Jia, Yuan Sun, Peiqi Huang, Ming Li, Shijie Liu, Feng Xie, Xiaolong Hao, Xiaohua Tong
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
System(ICESat-2/ATLAS), and MATLAS(using MABEL data to simulate the expected ATLAS photon point cloud).  ...  In this paper, we review the existing surface detection methods for photon point cloud data and select seven methods for comparison.  ...  In the feature calculation, the KNN value of the LDM [50] is still used, but in the feature segmentation section, Bayesian theory is used, which is innovative.  ... 
doi:10.1109/jstars.2021.3094195 fatcat:v3ezpkcipbbttc55wcwfygxtea

SoK: Efficient Privacy-preserving Clustering

Aditya Hegde, Helen Möllering, Thomas Schneider, Hossein Yalame
2021 Proceedings on Privacy Enhancing Technologies  
We compare them, assess their limitations for a practical use in real-world applications, and conclude with open challenges.  ...  Moreover, nowadays it is often required to combine data from multiple sources to increase the quality of the analysis as well as to outsource complex computation to powerful cloud servers.  ...  ACKNOWLEDGEMENTS We thank Oliver Schick for his support with implementing PCA/OPT [19] .  ... 
doi:10.2478/popets-2021-0068 fatcat:sb2ttfjfojb45lkudipt5tu4fq

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Angelos Angelopoulos, Emmanouel T. Michailidis, Nikolaos Nomikos, Panagiotis Trakadas, Antonis Hatziefremidis, Stamatis Voliotis, Theodore Zahariadis
2019 Sensors  
We start by examining various proposed cloud/fog/edge architectures, highlighting their importance for acquiring manufacturing data in order to train the ML algorithms.  ...  At the same time, the introduction of the Industrial Internet of Things (IIoT), providing improved wireless connectivity for real-time manufacturing data collection and processing, has resulted in the  ...  of noisy mechanical data DL-based LiftingNet Sohaib et al., 2017 [55] Use of vibration acceleration signals for bearing and crack size identification SAE-based DNNs.  ... 
doi:10.3390/s20010109 pmid:31878065 pmcid:PMC6983262 fatcat:n4muoguq5jalrfwqkq4264vswe

When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges

Xuan Zhou, Ruimin Ke, Hao Yang, Chenxi Liu
2021 Applied Sciences  
the limitations of cloud computing, have attracted increasing attention in the research community in recent years.  ...  The widespread use of mobile devices and sensors has motivated data-driven applications that can leverage the power of big data to benefit many aspects of our daily life, such as health, transportation  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11209680 fatcat:li4mubzsbncjbcqfewgr5wemeq

Under-canopy UAV laser scanning for accurate forest field measurements

Eric Hyyppä, Juha Hyyppä, Teemu Hakala, Antero Kukko, Michael A. Wulder, Joanne C. White, Jiri Pyörälä, Xiaowei Yu, Yunsheng Wang, Juho-Pekka Virtanen, Onni Pohjavirta, Xinlian Liang (+2 others)
2020 ISPRS journal of photogrammetry and remote sensing (Print)  
Thus, the combination of under-canopy and above-canopy UAV laser scanning allowed us to extract the stem volumes with an accuracy comparable to the past best studies based on TLS in boreal forest conditions  ...  Novel data processing algorithms were applied for the point clouds in order to detect the stems of individual trees and to extract their stem curves and diameters at breast height (DBH).  ...  Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing -Point Cloud Ecosystem (293389/ 314312)".  ... 
doi:10.1016/j.isprsjprs.2020.03.021 fatcat:swt66xb3avdutamsqcpkidj2au

A Comprehensive lossless modified compression in medical application on DICOM CT images

Alka sharm
2013 IOSR Journal of Computer Engineering  
The aim of this paper is to present an approach for E-evaluation model for the visually challenged students/candidates for the screening tests conducted by the different examination authorities.  ...  The technical, directional and anatomical aspects of an image are compressed using wavelets transformation of HAAR process.  ...  This paper proposes an algorithm to find the outliers to improve the efficiency of web search engine.  ... 
doi:10.9790/0661-1530107 fatcat:eoyyyi7vmbculctnfqnohxyhue

Program

2021 2021 National Conference on Communications (NCC)  
Streaming codes are relevant to the 5G objective of achieving ultra-reliable, low-latency communication (URLLC) and address the need for an error-correction scheme at the packet level, that ensures reliability  ...  For example, linearization schemes such as digital predistortion require load modulation based power amplifier (PA) (Doherty PA or Chireix Outphasing PA etc.) for handling high crest factor signals with  ...  University, Kota, India) An image segmentation model using histogram-based image fitting (HF) energy is proposed to identify objects with poorly defined boundaries.  ... 
doi:10.1109/ncc52529.2021.9530194 fatcat:ahdw5ezvtrh4nb47l2qeos3dwq

State of the Art in Defect Detection Based on Machine Vision

Zhonghe Ren, Fengzhou Fang, Ning Yan, You Wu
2021 International Journal of Precision Engineering and Manufacturing - Green Technology  
In the further development of the field of visual inspection, the application of deep learning will play an increasingly important role.  ...  In visual inspection, excellent optical illumination platforms and suitable image acquisition hardware are the prerequisites for obtaining high-quality images.  ...  To realize an innovative design of the optical illumination system, an effective combination of some fundamental illumination models is the preferred approach, and additional auxiliary optical devices  ... 
doi:10.1007/s40684-021-00343-6 fatcat:gzukmfsx3veexktu2mg4tcbdfi

A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios

Yanan You, Jingyi Cao, Wenli Zhou
2020 Remote Sensing  
Quantities of multi-temporal remote sensing (RS) images create favorable conditions for exploring the urban change in the long term.  ...  Owing to the attributes of input RS images affect the technical selection of each module, data characteristics and application domains across different categories of RS images are discussed firstly.  ...  Acknowledgments: Thanks to the guidance of Intelligent Perception and Computing Teaching and Research Office in BUPT, and thanks to the editors for their suggestions for this article.  ... 
doi:10.3390/rs12152460 fatcat:itc5ixwgrffuzgzyj2yrycaree

Artificial Intelligence for Digital Agriculture at Scale: Techniques, Policies, and Challenges [article]

Somali Chaterji, Nathan DeLay, John Evans, Nathan Mosier, Bernard Engel, Dennis Buckmaster, Ranveer Chandra
2020 arXiv   pre-print
For example, if some algorithm needs data from multiple data owners to be pooled together, that raises the question of data ownership.  ...  This paper is the first one to bring together the important questions that will guide the end-to-end pipeline for the evolution of a new generation of digital agricultural solutions, driving the next revolution  ...  For example, it uses a density-based clustering algorithm, DBSCAN [30] for robustness against outliers and noise.  ... 
arXiv:2001.09786v1 fatcat:2mkcyug2vjacnaftscktz2ca7q
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