Paper
4 March 2015 A self-adaptive anti-vibration pipeline-filtering algorithm
Author Affiliations +
Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94432M (2015) https://doi.org/10.1117/12.2178769
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
The mobile pipeline-filtering algorithm is a real-time algorithm that performs well in detecting small dim targets, but it is particularly sensitive to interframe vibration of sequence images. When searching for small dim targets at sea based on an infrared imaging system, irregular and random vibration of the airborne imaging platform causes huge interference problems for the mobile pipeline-filtering. This paper puts forward a pipeline-filtering algorithm that has a good performance on self-adaptive anti-vibration. In the block matching method using the normalized cross-correlations coefficient (NCC), the interframe vibration of sequence images is acquired in real time and used to correct coordinates of the single-frame detection results, and then the corrected detection results are used to complete the mobile pipelinefiltering. Experimental results show that the algorithm can overcome the problem of interframe vibration of sequence images, thus realizing accurate detection of small dim maritime targets.
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Houde Wu, Bin Wang, Ming Zhao, and Wenhai Xu "A self-adaptive anti-vibration pipeline-filtering algorithm", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94432M (4 March 2015); https://doi.org/10.1117/12.2178769
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KEYWORDS
Detection and tracking algorithms

Target detection

Infrared imaging

Infrared radiation

Image processing

Video

Imaging systems

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