|Table of Contents|

MMW Radiometric image enhancement based on visual saliency analysis

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2014年01期
Page:
134-139
Research Field:
Publishing date:

Info

Title:
MMW Radiometric image enhancement based on visual saliency analysis
Author(s):
Lu Xuan1Xiao Zelong1Hu Taiyang2Li Jie1Xu Jianzhong1
1.School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China; 2.China Academy of Space Technology(Xi'an),Xi'an 710100,China
Keywords:
concealed contraband detection millimeter-wave radiometric image image enhancement visual saliency adaptive threshold segmentation
PACS:
TN951
DOI:
-
Abstract:
In order to improve the intelligibility of radiometric millimeter-wave(MMW)image of concealed weapon with low resolution,an image enhancement method based on visual saliency analysis is proposed.According to the principle of the visual saliency analysis,the model IG is selected for its suitability for MMW radiometric image enhancement.The image is filtered in frequency domain.The cutoff frequency is designed to reserve target boundaries and reduce noise and the texture in target region.The saliency map of the filtered image is calculated in Lab color feature space and considered as the enhancing result.Compared with the original image,the target region becomes prominent and the background is suppressed in the enhanced image.Moreover,the target region and outline can be obtained via adaptive threshold segmentation on the saliency map.Using the proposed method to enhance the MMW radiometric image of concealed weapon,the experimental result demonstrates better performances in both respects of subjective vision and objective criteria than the common methods.

References:

[1] Hu Taiyang,Xiao Zelong,Xu Jianzhong,et al.Methods of personnel screening for concealed contraband detection by millimeter-wave radiometric imaging[J].Procedia Engineering,2010,7:28-37.
[2]Xiao Zelong,Hu Taiyang,Xu Jianzhong,et al.Millimetre-wave radiometric imaging for concealed contraband detection on personnel[J].IET Image Processing,2011,5(5):375-381.
[3]胡泰洋,肖泽龙,张坤,等.室内毫米波成像的辐射温度传递及对比度分析[J].光电工程,2011,38(1):85-92.
Hu Taiyang,Xiao Zelong,Zhang Kun,et al.The transfer and contrast analysis of radiometric temperature for indoor millimeter-wave imaging[J].Opto-Electronic Engineering,2013,38(1):85-92.
[4]Gonzalez R C,Woods R E,Eddins S L,et al.数字图像处理(MATLAB版)[M].北京:电子工业出版社,2005:289-295.
[5]王慧君.毫米波被动成像及图像处理的研究[D].南京:南京理工大学电子工程与光电技术学院,2007.
[6]陈阳侃.无源毫米波图像处理与特征分析研究[D].南京:南京理工大学电子工程与光电技术学院,2010.
[7]邓玥琳,王建国,李良超,等.一种改进的非线性频谱外推算法及其在无源毫米波图像增强中的应用[J].红外与毫米波学报,2009,28(5):367-370.
Deng Yuelin,Wang Jianguo,Li Liangchao,et al.Improved algorithm of nonlinear extrapolation in frequency space and its application in passive millimeter-wave image enhancement[J].Journal of Infrared and Millimeter Waves,2009,28(5):367-370.
[8]罗泽宇.毫米波无源成像超分辨理论及图像增强算法研究[D].成都:电子科技大学电子工程学院,2007.
[9]梁焯佳.基于区域的图像显著目标检测[D].广州:中山大学信息科学与技术学院,2010.
[10]Itti L,Koch C,Niebur E.A model of saliency-based visual attention for rapid scene analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1998,20(11):1254-1259.
[11]Hou Xiaodi,Zhang Liqing.Saliency detection:A spectral residual approach[A].Computer Vision and Pattern Recognition,2007.CVPR'07.IEEE Conference on [C].Piscataway,NJ,USA:IEEE.
[12]Radhakrishna Achanta,Sheila Hemami,Francisco Estraday,et al.Frequency-tuned salient region detection[A].Computer Vision and Pattern Recognition,2009.CVPR 2009.IEEE Conferenceon on[C].Piscataway,NJ,USA:IEEE.
[13]Jonathan Harel,Christof Koch,Pietro Perona.Graph-based visual saliency[A].Advances in Neural Information Processing Systems 19[C].Cambridge,MA:MIT Press,2007.
[14]胡泰洋,肖泽龙,陈磊,等.隐匿违禁物品探测的毫米波辐射图像融合方法[J].南京理工大学学报,2012,36(1):106-111.
Hu Taiyang,Xiao Zelong,Chen Lei,et al.Millimeter-wave radiometric image fusion for concealed contraband detection[J].Journal of Nanjing University of Science and Technology,2012,36(1):106-111.

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Last Update: 2014-02-28