Paper
14 February 2023 Infrared small target detection based on saliency and difference of Gaussian
Dong Li, Jie-bo Yin, Guo-liang Zhou, Jia-dao Huo, Jia-ying Li
Author Affiliations +
Proceedings Volume 12589, International Conference on Optical Technology, Semiconductor Materials, and Devices (OTSMD 2022); 125890Y (2023) https://doi.org/10.1117/12.2668397
Event: International Conference on Optical Technology, Semiconductor Materials, and Devices (OTSMD 2022), 2022, Longyan, China
Abstract
The challenge of detecting the infrared small target in complex scenes is how to enhance the target area and suppress the interference of the background and noise. We present an infrared small target detection method based on saliency and difference of Gaussian. By calculating the spectral residuals of the original infrared images to obtain the saliency map, and a gray difference map is computed by adopting the difference of Gaussian. By normalizing and fusing these maps, the final feature response map is obtained, which can restrain the background noise and enhance the targets. Finally, the adaptive threshold segmentation method is used to detect small targets from the feature response map. Experimental result indicates that the proposed method achieves better image processing effect than traditional detection algorithm, works well under the interference of background and noise as well as detects the target accurately under different complex backgrounds.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dong Li, Jie-bo Yin, Guo-liang Zhou, Jia-dao Huo, and Jia-ying Li "Infrared small target detection based on saliency and difference of Gaussian", Proc. SPIE 12589, International Conference on Optical Technology, Semiconductor Materials, and Devices (OTSMD 2022), 125890Y (14 February 2023); https://doi.org/10.1117/12.2668397
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KEYWORDS
Target detection

Small targets

Infrared imaging

Signal to noise ratio

Fourier transforms

Image processing

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