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Journal of Flow Visualization and Image Processing

年間 4 号発行

ISSN 印刷: 1065-3090

ISSN オンライン: 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

Indexed in

EXTRACTION OF FLOW PROPERTIES FROM IMAGES USING AN IMPROVED DYNAMIC TRANSFORMATION FUNCTION

巻 7, 発行 3, 2000, 14 pages
DOI: 10.1615/JFlowVisImageProc.v7.i3.60
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要約

The current optical flow investigative techniques, which are based on the principle of laser sheet visualization (LSV), provide qualitative and quantitative information about the spatial structure of the phases present. These techniques rely on the quality of the acquired images from which flow property information is extracted. This can be a particularly acute problem in two-phase flows, where the transporting medium is a gas. Images obtained from such flow regimes produce pictures with poor contrast. Therefore, flow visualization and velocity measurements are difficult and particulate statistics are almost impossible tasks to achieve.
An adaptive contrast-enhancement technique to improve images obtained from laser sheet-based flow diagnostic methods is presented. This enhancement is based on a dynamic transformation function that deals with all types of laser sheet images, particularly those with dense backgrounds and poor contrast. The proposed adaptive contrast-enhancement technique, with its dynamic transformation function, is evaluated on some high density and poor contrast images.

によって引用された
  1. Singh Parampreet, Chander Subhash, Heat transfer and fluid flow characteristics of a pair of interacting dual swirling flame jets impinging on a flat surface, International Journal of Heat and Mass Transfer, 124, 2018. Crossref

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