Detection of suspicious objects on the basis of analysis of human X-ray images


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Аннотация

A new approach is proposed for detection of suspicious objects in X-ray images for security assurance. The approach is based on using the statistical model of the image for detecting anomalies. The model is designed with the use of the “bag-of-words” with context definition of the word coordinates in the image during statistical pattern formation. It is experimentally demonstrated that this approach ensures adequate approximation of the result of detection of suspicious objects by humans.

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Авторлар туралы

D. Svitov

Institute of Automation and Electrometry, Siberian Branch; Novosibirsk State University

Хат алмасуға жауапты Автор.
Email: david-svitov@yandex.ru
Ресей, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

V. Kulikov

Institute of Automation and Electrometry, Siberian Branch; Novosibirsk State University

Email: david-svitov@yandex.ru
Ресей, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

V. Kosykh

Institute of Automation and Electrometry, Siberian Branch; Novosibirsk State University

Email: david-svitov@yandex.ru
Ресей, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

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© Allerton Press, Inc., 2017