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Journal of Flow Visualization and Image Processing

Published 4 issues per year

ISSN Print: 1065-3090

ISSN Online: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

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NOISE REDUCTION FOR IMAGES RECONSTRUCTED BY A MICROWAVE IMAGING SYSTEM

Volume 28, Issue 3, 2021, pp. 23-40
DOI: 10.1615/JFlowVisImageProc.2021035120
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ABSTRACT

In this paper, we propose to develop a new framework based on incorporating an image-processing algorithm in order to reduce noise affecting the reconstructed images delivered by a microwave imaging system. Mainly, we propose to incorporate a mathematical image-processing algorithm based on dilation and erosion to reconstruct images for several signal-to-noise ratio (SNR) levels. To do so, we have used CST software to simulate received signals from a microwave imaging system. In our study, we consider a breast phantom and a concrete pillar. The reconstruction of images carried out by our microwave imaging system is based on radar technology. The simulation experiments demonstrate an enhancement in the image quality compared to the images delivered directly by the microwave system.

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