Reducing the Estimation Error of the Measure of Proximity Between Objects in Pattern Recognition

Mammadov, Rahim; Rahimova, Elena; Mammadov, Gurban

doi:10.1109/icai52893.2021.9639548

Cited by 2 publications

(1 citation statement)

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“…Infrared small targets have many inherent properties due to their special imaging mechanisms, which also poses great difficulties for the detection technology. For example, the target size is usually small (ranging from 2 × 2 to over 10 × 10 pixels) due to the long imaging distance; small targets have little texture information and are usually irregular in shape; and the contrast between target and background varies greatly due to the type of target and imaging distance [3][4][5]. In addition, when there is a lot of noise and complex clutter, the real target may be drowned out in the background, which creates a major detection technical challenge.…”

Section: Introductionmentioning

confidence: 99%

Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds

Yang

et al. 2023

Sensors

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Infrared small-target enhancement in complex contexts is one of the key technologies for infrared search and tracking systems. The effect of enhancement directly determines the reliability of the monitoring equipment. To address the problem of the low signal-to-noise ratio of small infrared moving targets in complex backgrounds and the poor effect of traditional enhancement algorithms, an accurate enhancement method for small infrared moving targets based on two-channel information is proposed. For a single frame, a modified curvature filter is used in the A channel to weaken the background while an improved PM model is used to enhance the target, and a modified band-pass filter is used in the B channel for coarse enhancement followed by a local contrast algorithm for fine enhancement, based on which a weighted superposition algorithm is used to extract a single-frame candidate target. The results of the experimental data analysis prove that the method has a good enhancement effect and robustness for small IR motion target enhancement in complex backgrounds, and it outperforms other advanced algorithms by about 43.7% in ROC.

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Section: Introductionmentioning

confidence: 99%