1997
DOI: 10.1117/12.267176
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<title>Concealed weapon detection: an image fusion approach</title>

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Cited by 27 publications
(16 citation statements)
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“…For the reader unfamiliar with image fusion, we give one example of using image fusion in the concealed weapon detection application discussed in [6][7][8] and [29]. Fig.…”
Section: Introductionmentioning
confidence: 99%
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“…For the reader unfamiliar with image fusion, we give one example of using image fusion in the concealed weapon detection application discussed in [6][7][8] and [29]. Fig.…”
Section: Introductionmentioning
confidence: 99%
“…It is worth noting that image-level fusion, or image fusion, is closely related to signal-level fusion since an image can be considered a two-dimensional signal. In recent years, image fusion has been attracting a large amount of attention in a wide variety of applications such as concealed weapon detection [6][7][8], remote sensing [9][10][11], intelligent robots [12,13], 1566 [14,15], defect inspection [16,17], and military surveillance [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Existing image sensor technologies for CWD applications include thermal/infrared (IR), millimeter wave (MMW), and visual. Since no single sensor technology can provide acceptable performance in CWD applications, image fusion has been identified as a key technology to achieve improved CWD procedures [1][2][3]. Image fusion is a process of combining complementary information from multiple sensor images to generate a single image that contains a more accurate description of the scene than any of the individual images.…”
Section: Introductionmentioning
confidence: 99%
“…No single sensor will completely satisfy the concealed weapon detection mission. Sensor fusion is an enabling technology that may increase the sensitivity, and reduce the number of false alarms and clutter by combining the signals of two or more sensors of different and complementary modalities [3][4][5]8,11,18 . Here we propose a new image fusion scheme that produces fused color images that appear similar to standard color images.…”
Section: Introductionmentioning
confidence: 99%