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Journal of Flow Visualization and Image Processing

Erscheint 4 Ausgaben pro Jahr

ISSN Druckformat: 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

Indexed in

A NEW METHOD FOR RECOGNITION AND DE-NOISING FOR MIDDLE WAVE INFRARED IMAGING

Volumen 19, Ausgabe 2, 2012, pp. 179-193
DOI: 10.1615/JFlowVisImageProc.2013006680
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ABSTRAKT

In this paper, a new method for recognition and noise removal of Middle Wave Infrared (MWIR) images is presented. In order to show how our novel method works, we carried out experimens, in which an MWIR camera is used to acquire infrared images of a target object with close background temperature and emissivity levels. An experimental box is used to reduce the environmental error, with the average environmental temperature being set at room temperature, 25°C, to make sure our method would be working well in the real life. Moreover, in order to obtain accurate measurements a digital thermocouple and the MWIR camera are used to identify the emissivity of the background and target object. A plate type of temperature keeper is employed to heat the object to different temperatures. In order to have a real-time accurate analysis, the thermography analysis software is used as an interface element to link a personal computer and the output of the MWIR camera to record infrared images. The experimental results show that if the temperature difference is ±1°C and the emissivity level is changing (0.01−0.02)% between the target object and the background, it is difficult to recognize the images because of their blurring, and the noise level is increased. Particularly, in order to recognize the edges of the image and the inner characteristics of the targeted object in MWIR images, one has to remove the noise, hence, an algorithm is needed to be developed to enhance the resolution of the infrared image to make clarity of the targeted object clear. This paper is meeting this needs.

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