阈值分割对星对角分离测量精度的影响

Qi Li, W. Xu, Zhi-hai Xu, H. Feng
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引用次数: 0

摘要

阈值分割和恒星提取是星图处理的重要组成部分,阈值的大小不仅影响分割得到的恒星数量,而且对后续恒星定位的精度也有很大影响。针对常用阈值分割算法的不足,提出了一种加权迭代阈值算法,该算法引入两个权重因子,通过选择合适的权重值,获得合适的分割阈值和符合要求的星数。以CCD相机获取的星图为实验目标,比较了不同分割阈值下的星对角分离精度,验证了该方法与传统迭代阈值算法相比,具有较好的分割效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of Threshold Segmentation on Star Pair Angular Separation Measurement Accuracy
Threshold segmentation and star extraction are important parts of star image processing, the threshold value not only influences the number of segmentation-derived stars but also has a great impact on the accuracy of subsequent star positioning. According to the disadvantages of common threshold segmentation algorithms, a kind of weighted iterative threshold algorithm was put forward, which introduces two weight factors and can obtain suitable threshold value for segmentation and number of stars meeting requirements through selecting suitable weight values. With star image acquired by CCD camera as the experimental target, we compared the accuracy of star pair angular separation at different threshold values for segmentation, and verified that our method has an improved effect, compared with the traditional iterative threshold algorithm.
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