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- W4286304001 abstract "The effective detection of small targets is a crucial task in infrared search and tracking applications. In this paper, we propose a method based on directional mean difference and compactness that will address some of the issues of the existing methods. First, the directional mean difference (DMD) is computed to extract the local bright regions. Then, the compactness of those regions is obtained and the DMD and compactness maps are integrated. Furthermore, the multi scale technique is applied for size adaptation and the small targets is segmented through an adaptive threshold. The simulation results confirm that the proposed method has achieved superior detection performance with a low computational load." @default.
- W4286304001 created "2022-07-21" @default.
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- W4286304001 creator A5063418076 @default.
- W4286304001 date "2022-05-17" @default.
- W4286304001 modified "2023-10-18" @default.
- W4286304001 title "Infrared Small Target Detection Based on Directional Mean Difference and Compactness" @default.
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- W4286304001 doi "https://doi.org/10.1109/icee55646.2022.9827369" @default.
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