Volume 25 Issue 06
Apr.  2013
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Zhang Xin, Zhao Yuanmeng, Zhang Cunlin. Passive terahertz image segmentation algorithm[J]. High Power Laser and Particle Beams, 2013, 25: 1597-1600. doi: 10.3788/HPLPB20132506.1597
Citation: Zhang Xin, Zhao Yuanmeng, Zhang Cunlin. Passive terahertz image segmentation algorithm[J]. High Power Laser and Particle Beams, 2013, 25: 1597-1600. doi: 10.3788/HPLPB20132506.1597

Passive terahertz image segmentation algorithm

doi: 10.3788/HPLPB20132506.1597
  • Received Date: 2012-11-20
  • Rev Recd Date: 2013-01-17
  • Publish Date: 2013-04-08
  • This study puts forward an image segmentation algorithm for passive terahertz images. First of all, the captured original terahertz images are denoised in the preprocessing course. Afterwards, we select the seed regions and the growing criteria by analysis and curve fitting of the gray histogram of the denoised images, and then carry out region growing. Experiment results show that the proposed algorithm is able to extract regions of interest from background effectively, which could help to detect the contrabands hidden under the clothes of the target subjects quickly and accurately, and consequently strengthen the practicability of our imaging system.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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