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ISSN 打印: 1065-3090

ISSN 在线: 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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OBJECT RECOGNITION USING MWIR THERMOGRAPHY WITH VARYING EMISSIVITY AND TEMPERATURE LEVELS

卷 17, 册 1, 2010, pp. 1-14
DOI: 10.1615/JFlowVisImageProc.v17.i1.10
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摘要

An infrared (IR) camera is one of the common tools for taking images for thermography analysis in the medical field. In this paper, object recognition using infrared images captured with a Middle Wave Infrared (MWIR) camera is studied. By using the InSb detector, the MWIR system used in this study operates in the 3−5 μm waveband, and it is suited for high-end research and development applications. To enhance the use of MWIR thermography in real-world applications, it is important to devise reliable image generation and processing techniques for MWIR images. An experimental study has been conducted to identify the capability of MWIR thermography in distinguishing an object (a human hand) from its background with varying emissivity and temperature levels. It was observed that object recognition becomes difficult when the emissivity difference is within 0.01 under the temperature condition of within 1°C for the object and the background.

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