Image correlation method to simulate physical characteristic of particulate matter-Reference-Cited by-同舟云学术

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Image correlation method to simulate physical characteristic of particulate matter

Published:2019-09-06 Issue:2 Volume:11 Page:400-410
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Gaur Deepak^ORCID,Mehrotra Deepti,Singh Karan

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1007/s13198-019-00868-9.pdf

Reference42 articles.

1. Aguerrebere C, Almansa A, Delon J, Gousseau Y, Muse P (2017) A bayesian hyperprior approach for joint image denoising and interpolation, with an application to HDR imaging. IEEE Trans Comput Imaging 3(4):633–646

2. Aquino A, Gegundez-Arias ME, Marin D (2010) Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques. IEEE Trans Med Imaging 29(11):1860–1869

3. Arabadjis D et al (2010) A general methodology for the determination of 2D bodies elastic deformation invariants: application to the automatic identification of parasites. IEEE Trans Pattern Anal Mach Intell 32(5):799–814

4. Chiang C-T (2018) Design of a high-sensitivity ambient particulate matter 2.5 particle detector for personal exposure monitoring devices. IEEE Sens J 18(1):165–169

5. Chung KL, Lin YR, Huang YH (2009) Efficient shadow detection of color aerial images based on successive thresholding scheme. IEEE Trans Geosci Remote Sens 47(2):671–682

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of Particulate Matter PM_2.5 Concentration using Random Forest Regressor with Hyperparameter Tuning;2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2022-01-27

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