کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1031223 | 942919 | 2007 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Image feature based detection of agricultural quarantine materials in X-ray images
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
استراتژی و مدیریت استراتژیک
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چکیده انگلیسی
The US Department of Agriculture uses many methods to screen incoming passenger baggage for agricultural quarantined materials (e.g. fresh fruits and meat). X-ray inspection is relied upon because it is a fast and non-invasive inspection method. This paper investigates a new image feature based approach to training for X-ray inspection that instructs subjects to search for particular patterns and textures in the X-ray image, rather than specific objects (e.g. an apple). The image feature based approach is found to have demonstrable potential as a training program and provides justification for further research into implementation in a computer pattern recognition program.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Air Transport Management - Volume 13, Issue 6, November 2007, Pages 348–354
Journal: Journal of Air Transport Management - Volume 13, Issue 6, November 2007, Pages 348–354
نویسندگان
Natsuko Toyofuku, Thomas F. Schatzki,