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

D. V. Svitov, V. A. Kulikov, V. P. Kosykh

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)159-164
Number of pages6
JournalOptoelectronics, Instrumentation and Data Processing
Volume53
Issue number2
DOIs
Publication statusPublished - 1 Mar 2017

Keywords

  • bag-of-words
  • search for anomalies
  • X-ray images

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