[1]逯 暄,肖泽龙,胡泰洋,等.基于视觉显著性分析的毫米波辐射图像增强[J].南京理工大学学报(自然科学版),2014,38(01):134-139.
 Lu Xuan,Xiao Zelong,Hu Taiyang,et al.MMW Radiometric image enhancement based on visual saliency analysis[J].Journal of Nanjing University of Science and Technology,2014,38(01):134-139.
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基于视觉显著性分析的毫米波辐射图像增强
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
38卷
期数:
2014年01期
页码:
134-139
栏目:
出版日期:
2014-02-28

文章信息/Info

Title:
MMW Radiometric image enhancement based on visual saliency analysis
作者:
逯 暄1肖泽龙1胡泰洋2李 杰1许建中1
1.南京理工大学 电子工程与光电技术学院,江苏 南京 210094; 2.中国空间技术研究院西安分院,陕西 西安 710100
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
关键词:
隐匿违禁物品探测 毫米波辐射图像 图像增强 视觉显著性 自适应阈值分割
Keywords:
concealed contraband detection millimeter-wave radiometric image image enhancement visual saliency adaptive threshold segmentation
分类号:
TN951
摘要:
为了提高分辨率较低的毫米波隐匿武器辐射图像的可读性,研究了基于视觉显著性分析的毫米波辐射图像的增强方法。根据视觉显著性分析方法的原理,选取适合于毫米波辐射图像增强的IG模型。对图像进行频域滤波,通过设计截止频率保留目标边界并去除噪声与目标内部的纹理,在Lab颜色特征空间内计算滤波后图像的显著图作为图像增强的结果。与原图相比,增强后的图像在抑制背景的同时可以突出目标区域,并可采用自适应阈值分割的方法提取目标区域及其轮廓。采用该方法对实测毫米波隐匿武器辐射图像进行图像增强实验,证实了其增强效果在主观视觉及客观评价指标上均优于其他常用方法。
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.

参考文献/References:

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相似文献/References:

[1]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(自然科学版),2012,36(01):106.
 HU Tai-yang,XIAO Ze-long,CHEN Lei,et al.Millimeter-wave Radiometric Image Fusion for Concealed Contraband Detection[J].Journal of Nanjing University of Science and Technology,2012,36(01):106.

备注/Memo

备注/Memo:
收稿日期:2012-06-11 修回日期:2012-11-15
基金项目:国家自然科学基金(61301213); 高等学校博士学科点专项科研基金(20093219120018)
作者简介:逯暄(1987-),女,博士生,主要研究方向:毫米波主被动复合探测与信息融合,E-mail:nanliluxuan@126.com; 通讯作者:肖泽龙(1978-),男,副教授,主要研究方向:毫米波主被动探测及成像技术,E-mail:zelongxiao@njust.edu.cn。
引文格式:逯暄,肖泽龙,胡泰洋,等.基于视觉显著性分析的毫米波辐射图像增强[J].南京理工大学学报,2014,38(1):134-139.
投稿网址:http://njlgdxxb.paperonce.org
更新日期/Last Update: 2014-02-28