A small dim targets detection method with dark-spots interference based on infrared images

Shuai Dong; Tianxu Zhang; Siman Lv

doi:10.1117/12.2537771

14 February 2020 A small dim targets detection method with dark-spots interference based on infrared images

Shuai Dong, Tianxu Zhang, Siman Lv

Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 114290C (2020) https://doi.org/10.1117/12.2537771
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

When the small targets are dim and with dark-spots interference in infrared images, the targets can not be accurately detected by multi-level filter. In order to solve this problem, the dark-spots filtering algorithm based on contrast suppression is added to the original multi-level filter for detecting small dim targets. First, the result of difference image based on the low-pass filtered image and the original image preserves the information of the targets and dark-spots at the same time. Second, the difference image and the original image are superimposed to remove dark-spots, according to the inhibitory factor determined by the contrast between dark-spots and background. Finally, the targets are enhanced by using Gamma correction. The experimental results demonstrate that the algorithm enhances the targets, removes dark-spots, and suppresses the background of false detection, so the multi-level filter adding the proposed method can effectively detect small dim targets.

Citation Download Citation

Shuai Dong, Tianxu Zhang, and Siman Lv "A small dim targets detection method with dark-spots interference based on infrared images", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114290C (14 February 2020); https://doi.org/10.1117/12.2537771

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