Abstract Biospeckle is caused by statistical interference of coherent beam reflected from a surface having temporal variation due to physiological or biochemical activity. For quantitative evaluation of underlying dynamic speckle activity, different point based and full-field indexing based techniques were proposed in the literature. However, most of the existing techniques involve manual region of interest (ROI) selection, and possess considerable variation of index value with different experimental and analysis parameters (viz. number of frames, degree of correlation, specimen heterogeneity, and others). To circumvent these drawbacks, in this work, we proposed an efficient automated biospeckle indexing technique by combining morphological and geo-statistical operators. Performance of the proposed strategy was analyzed and compared in the controlled environment using different modifications of rotating diffuser based simulation model. Robustness of the proposed strategy was also validated experimentally using different bio-specimens (human finger, seed, carrot and gum arabica). Obtained results demonstrated that the proposed technique has high accuracy for all assessed conditions. Multiple object detection capability of morphological operators was also integrated in the proposed technique to assess biospeckle signature of multiple specimens captured in a single stack of frames. Simultaneous dynamicity assessment of multiple objects from a single stack reduced both computational and experimental overheads considerably. The proposed strategy is useful in biospeckle based quality control and automation.

中文翻译：

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使用形态学和地理统计描述符的高效自动生物斑点索引策略

摘要 生物散斑是由于生理或生化活动而具有时间变化的表面反射的相干光束的统计干扰引起的。为了定量评估潜在的动态散斑活动，文献中提出了不同的基于点和基于全场索引的技术。然而，大多数现有技术涉及手动感兴趣区域 (ROI) 选择，并且随着不同的实验和分析参数（即帧数、相关度、样本异质性等），指标值具有相当大的变化。为了规避这些缺点，在这项工作中，我们通过结合形态学和地统计算子，提出了一种有效的自动生物斑点索引技术。使用基于旋转扩散器的仿真模型的不同修改，在受控环境中分析和比较了所提出策略的性能。还使用不同的生物样本（人类手指、种子、胡萝卜和阿拉伯树胶）通过实验验证了所提出策略的稳健性。获得的结果表明，所提出的技术对所有评估条件都具有很高的准确性。形态学算子的多目标检测能力也被整合到所提出的技术中，以评估在单帧帧中捕获的多个样本的生物斑点特征。来自单个堆栈的多个对象的同时动态评估大大减少了计算和实验开销。所提出的策略可用于基于生物斑点的质量控制和自动化。