南京理工大学学报(自然科学版)
南京理工大學學報(自然科學版)
남경리공대학학보(자연과학판)
JOURNAL OF NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY
2014年
1期
134-139
,共6页
逯暄%肖泽龙%胡泰洋%李杰%许建中
逯暄%肖澤龍%鬍泰洋%李傑%許建中
록훤%초택룡%호태양%리걸%허건중
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
隱匿違禁物品探測%毫米波輻射圖像%圖像增彊%視覺顯著性%自適應閾值分割
은닉위금물품탐측%호미파복사도상%도상증강%시각현저성%자괄응역치분할
concealed contraband detection%millimeter-wave radiometric image%image enhancement%visual saliency%adaptive threshold segmentation
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。
為瞭提高分辨率較低的毫米波隱匿武器輻射圖像的可讀性,研究瞭基于視覺顯著性分析的毫米波輻射圖像的增彊方法。根據視覺顯著性分析方法的原理,選取適閤于毫米波輻射圖像增彊的IG模型。對圖像進行頻域濾波,通過設計截止頻率保留目標邊界併去除譟聲與目標內部的紋理,在Lab顏色特徵空間內計算濾波後圖像的顯著圖作為圖像增彊的結果。與原圖相比,增彊後的圖像在抑製揹景的同時可以突齣目標區域,併可採用自適應閾值分割的方法提取目標區域及其輪廓。採用該方法對實測毫米波隱匿武器輻射圖像進行圖像增彊實驗,證實瞭其增彊效果在主觀視覺及客觀評價指標上均優于其他常用方法。
위료제고분변솔교저적호미파은닉무기복사도상적가독성,연구료기우시각현저성분석적호미파복사도상적증강방법。근거시각현저성분석방법적원리,선취괄합우호미파복사도상증강적IG모형。대도상진행빈역려파,통과설계절지빈솔보류목표변계병거제조성여목표내부적문리,재Lab안색특정공간내계산려파후도상적현저도작위도상증강적결과。여원도상비,증강후적도상재억제배경적동시가이돌출목표구역,병가채용자괄응역치분할적방법제취목표구역급기륜곽。채용해방법대실측호미파은닉무기복사도상진행도상증강실험,증실료기증강효과재주관시각급객관평개지표상균우우기타상용방법。
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.