Automatic detection of prohibited items with small size in X-ray images
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1. Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China;2.Shenzhen Polytechnic, Shenzhen 518055, China

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    Abstract:

    In this paper, we focus on the detection of prohibited items with small size, and establish an automatic detection model based on feature fusion single shot multibox detector (FSSD) architecture. Two modifications are carried out to improve the detection accuracy. Firstly, the semantic enrichment module (SEM) with dilated convolution is applied to extract the low level feature with strong semantic information. Secondly, a residual module (Res) with residual blocks is added in the multibox detection architecture in order to extract more adequate features for target detection. The simulation results have demonstrated a better performance of the proposed detection model for prohibited items with small size compared with the state-of-the-arts.

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ZHANG Yu-tao, ZHANG Hai-gang, ZHAO Teng-fei, YANG Jin-feng. Automatic detection of prohibited items with small size in X-ray images[J]. Optoelectronics Letters,2020,16(4):313-317

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History
  • Received:July 18,2019
  • Revised:September 03,2019
  • Adopted:
  • Online: July 03,2020
  • Published: