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首页> 外文期刊>Advances in space research >Improved detection of faint streaks based on a streak-like spatial filter
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Improved detection of faint streaks based on a streak-like spatial filter

机译：基于条纹状空间滤光片改善了微弱条纹的检测

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This paper presents an algorithm to detect very faint object streaks on CCD images acquired with an optical system. The proposed detection method uses image filters simulating the geometrical form and orientation of possible streaks on the CCD image. The method searches for a matching between streak and filter evaluating the convolutions of the image with all possible filters. Based on the statistics of the image background a threshold is applied in order to accept, respectively reject, the possible streak candidates. The detection probabilities and the effect of different parameter settings are estimated with tests on simulated images, while subframes of real images are used to evaluate the applicability of the algorithm to real cases. The detection probability of this method depends on the length and on the signal-to-noise ratio of the streak. For long streaks, a detection for signal-to-noise values around 0.5 is achieved. The further characterization of the detected streak (e.g. centroid and length), which is not performed in the current algorithm, and the reduction of the computation time, which is relatively high for full acquired frames, as well as possible improvements are briefly addressed.
机译：本文介绍了一种在用光学系统获取的CCD图像上检测非常微弱的物体条纹的算法。所提出的检测方法使用图像滤波器模拟CCD图像上可能条纹的几何形状和方向。该方法搜索条纹和过滤器之间的匹配，并使用所有可能的滤波器评估图像的卷积。基于图像背景的统计，应用阈值以分别接受可能的条纹候选。在模拟图像上的测试中估计了检测概率和不同参数设置的效果，而实图像的子帧用于评估算法对实际情况的适用性。该方法的检测概率取决于条纹的长度和信噪比。对于长条纹，实现了对噪声值约为0.5的检测。不在当前算法中进行的检测条纹（例如质心和长度）的进一步表征，以及对完全获取帧的计算时间的减少，以及用于完全获取帧的计算时间以及可能的改进。

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