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Journal of Flow Visualization and Image Processing

Publicado 4 números por año

ISSN Imprimir: 1065-3090

ISSN En Línea: 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

AUTOMATIC RECOGNITION OF TWO-DIMENSIONAL VORTICES BY DIGITAL IMAGE PROCESSING

Volumen 11, Edición 4, 2004, 11 pages
DOI: 10.1615/JFlowVisImageProc.v11.i4.20
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SINOPSIS

In this study, a digital image processing method has been developed to detect automatically the vortex structure behind a circular cylinder. The vortex recognition algorithm is based on the special features of a typical vortex; namely, the circular-like, elliptic-like, and/or the spiral-like characteristics extracted from the geometrical features of the vortex. The algorithm includes two parts; namely, pre-processing and vortex structure recognition. The results indicate that for a 256 × 240 image, all the vortices in the image can be detected in about 100 iterations if the noise level is low or moderate. But if the noise level is high and the pre-processing is poorly done, the algorithm is not reliable. The same situation occurs also if there are break points due to thinning or skeletonizing. These are the limitations of the present algorithm.

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