qin hanlin, zhou huixin, liu shangqian, et al. Dim and small target background suppression using bilateral filtering[J]. High Power Laser and Particle Beams, 2009, 21.
Citation:
qin hanlin, zhou huixin, liu shangqian, et al. Dim and small target background suppression using bilateral filtering[J]. High Power Laser and Particle Beams, 2009, 21.
qin hanlin, zhou huixin, liu shangqian, et al. Dim and small target background suppression using bilateral filtering[J]. High Power Laser and Particle Beams, 2009, 21.
Citation:
qin hanlin, zhou huixin, liu shangqian, et al. Dim and small target background suppression using bilateral filtering[J]. High Power Laser and Particle Beams, 2009, 21.
Structured background suppression is difficult for dim and small targets detection.bilateral filtering could get information of image geometric, photometric and local structure similarites, and is non-iterative, local and simple, a background suppression algorithm based on bilateral filtering wa presented to solve the problem, and local gradient statistics was introduced to suppress background details and enhance target information for improving entire image contrast and signal to noise ratio (SNR). When compared with wavelet filtering algorithm through subject inspection and value index, several groups of experimental results demonstrate that the presented algorithm can suppress complicated background in the dim and small target image effectively．
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