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Dynamic objects detection of the respiratory epithelium based on image analysis

机译:基于图像分析的呼吸上皮的动态对象

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摘要

This paper deals with detection of the movement of the objects from the respiratory apparatus (cilia) based on image analysis. The theoretical part of article deals with an overview of the most widespread dynamic image segmentation methods and a proposal of final algorithm derived from optical flow. The work includes the portability of the individual methods and the possibility of using it to obtain information about the ciliary motility.
机译:本文根据图像分析,涉及检测来自呼吸装置(纤毛)的物体的运动。文章的理论部分概述了最广泛的动态图像分割方法和源自光学流程的最终算法的提案。该工作包括各个方法的可移植性以及使用它来获取有关纤毛运动信息的信息的可能性。

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