基于虚拟仪器的运动目标搜索

L. Hargaš, D. Koniar, M. Hrianka, P. Ďurdík, P. Bánovčin
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引用次数: 0

摘要

基于频率分析和分割过程,可以对运动对象进行描述。高速摄像机捕捉运动物体,对其进行图像分析是评价的必要条件。这一事实在医疗应用中非常重要,当需要移动物体(纤毛)来确定患者的诊断时。必须从分析结果中去除工件(移动的碎屑、气泡)。这些步骤的综合带来了关于有用信息区域(物体正常运动区域)的更准确的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moving object searching based on virtual instrumentation
The moving object can be described, based on frequency analysis and segmentation process. The moving objects are captured by highspeed video camera and image analysis is necessary for evaluation. This fact is very important in medical applications, when the moving objects (cilias) are needed to determine patient's diagnosis. The artifacts (moving detrit, bubles) must be removed from analysis result. Synthesis of these steps brings more accurate information about regions with useful information (regions with normal motion of objects).
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