<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Small target detection under a complex background has always been a hot and difficult problem in the field of image processing. Due to the factors such as a complex background and a low signal-to-noise ratio, the existing methods cannot robustly detect targets submerged in strong clutter and noise. In this paper, a local gradient contrast method (LGCM) is proposed. Firstly, the optimal scale for each pixel is obtained by calculating a multiscale salient map. Then, a subblockbased local gradient measure is designed; it can suppress strong clutter interference and pixel-sized noise simultaneously. Thirdly, the subblock-based local gradient measure and the salient map are utilized to construct the LGCM. Finally, an adaptive threshold is employed to extract the final detection result. Experimental results on six datasets demonstrate that the proposed method can discard clutters and yield superior results compared with state-of-the-art methods.</p>
</abstract>

Small target detection under a complex background has always been a hot and difficult problem in the field of image processing. Due to the factors such as a complex background and a low signal-to-noise ratio, the existing methods cannot robustly detect targets submerged in strong clutter and noise. In this paper, a local gradient contrast method (LGCM) is proposed. Firstly, the optimal scale for each pixel is obtained by calculating a multiscale salient map. Then, a subblockbased local gradient measure is designed; it can suppress strong clutter interference and pixel-sized noise simultaneously. Thirdly, the subblock-based local gradient measure and the salient map are utilized to construct the LGCM. Finally, an adaptive threshold is employed to extract the final detection result. Experimental results on six datasets demonstrate that the proposed method can discard clutters and yield superior results compared with state-of-the-art methods.

Infrared Small–Target Detection Under a Complex Background Based on a Local Gradient Contrast Method

National University of Defense Technology

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Small target detection under a complex background has always been a hot and difficult problem in the field of image processing. Due to the factors such as a...

Infrared Small–Target Detection Under a Complex Background Based on a Local Gradient Contrast Method

Online veröffentlicht: 29. März 2023

Seitenbereich: 33 - 43

Eingereicht: 17. Apr. 2022

Akzeptiert: 09. Nov. 2022

DOI: https://doi.org/10.34768/amcs-2023-0003

Schlüsselwörter
small target detection, local gradient contrast, visual saliency, infrared image processing

© 2023 Linna Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Infrared Small–Target Detection Under a Complex Background Based on a Local Gradient Contrast Method

Online veröffentlicht: 29. März 2023

Seitenbereich: 33 - 43

Eingereicht: 17. Apr. 2022

Akzeptiert: 09. Nov. 2022

DOI: https://doi.org/10.34768/amcs-2023-0003

Schlüsselwörtersmall target detection, local gradient contrast, visual saliency, infrared image processing

© 2023 Linna Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
small target detection, local gradient contrast, visual saliency, infrared image processing