Indoor passive millimeter-wave imaging for concealed object detection

Shou Long Dong, Xiang Guang Chen, Wang Yang Yu, Yan Hua Yin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Passive millimeter-wave (PMMW) imaging is an effective technique for concealed objects detection. A PMMW imaging system optimized for corresponding with indoor surroundings is developed and tested. The metal is deposited on the surface of carbon fiber by chemical plating process and the temperature contrast between the human body and concealed objects can be improved by adding the metal deposited carbon fiber to concealed objects. An image enhancement algorithm is proposed on the basis of the combination of wavelet transformation and top-hit transformation, and the experiment results demonstrate that the algorithm proposed is highly efficient for the indoor passive millimeter-wave images. Furthermore, Lucy-Richardson iterative, restricted least square algorithm and user-defined palliative module filtering are combined to process the detecting images, and then the edge detection can be effectively realized using Canny arithmetic operator.

Original languageEnglish
Title of host publicationOptoelectronics Engineering and Information Technologies in Industry
Pages1581-1584
Number of pages4
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013 - Zhengzhou, Henan, China
Duration: 19 Oct 201320 Oct 2013

Publication series

NameAdvanced Materials Research
Volume760-762
ISSN (Print)1022-6680

Conference

Conference2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013
Country/TerritoryChina
CityZhengzhou, Henan
Period19/10/1320/10/13

Keywords

  • Concealed object detection
  • Image processing algorithm
  • Metal deposited carbon fiber
  • Passive millimeter-wave imaging

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Dong, S. L., Chen, X. G., Yu, W. Y., & Yin, Y. H. (2013). Indoor passive millimeter-wave imaging for concealed object detection. In Optoelectronics Engineering and Information Technologies in Industry (pp. 1581-1584). (Advanced Materials Research; Vol. 760-762). https://doi.org/10.4028/www.scientific.net/AMR.760-762.1581