Abstract A novel clustering-analysis approach is proposed in this work. This approach addresses the fringe-activity range-detection issue often encountered in vertical-scanning wideband interferometry. The proposed approach exploits the fact that the fringe signal formed by a wideband light source, which is composed of deterministic signals and a random noise signal. As a result, the number of clusters in the proposed clustering method can be easily specified as 2, in advance. The proposed analysis procedure and its development using a k-means method-based clustering scheme are described in this paper. To the best of the authors’ knowledge, this is the first investigation report regarding fringe-activity range detection. The details of the proposed approach are introduced within the framework of femtosecond optical frequency comb-based interferometry. Experimental results demonstrate the efficiency of the proposed algorithm with respect to the fringe-activity range detection.

中文翻译：

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基于聚类分析的边缘活动范围检测器

摘要 本文提出了一种新的聚类分析方法。这种方法解决了垂直扫描宽带干涉测量中经常遇到的条纹活动范围检测问题。所提出的方法利用了由宽带光源形成的条纹信号这一事实，该条纹信号由确定性信号和随机噪声信号组成。因此，所提出的聚类方法中的聚类数可以很容易地提前指定为 2。本文描述了所提出的分析程序及其使用基于 k 均值方法的聚类方案的开发。据作者所知，这是第一份关于边缘活动范围检测的调查报告。在基于飞秒光频梳的干涉测量框架内介绍了所提出方法的细节。实验结果证明了所提出算法在边缘活动范围检测方面的效率。