Image-based tube top circle detection with multiple candidates

Embodiments provide a method of using image-based tube top circle detection based on multiple candidate selection to localize the tube top circle region in input images. According to embodiments provided herein, the multi-candidate selection enhances the robustness of tube circle detection by making...

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Bibliographic Details
Main Authors KLUCKNER STEFAN, POLLACK BENJAMIN S, CHEN TERRENCE, CHANG YAO-JEN
Format Patent
LanguageChinese
English
Published 21.02.2020
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Summary:Embodiments provide a method of using image-based tube top circle detection based on multiple candidate selection to localize the tube top circle region in input images. According to embodiments provided herein, the multi-candidate selection enhances the robustness of tube circle detection by making use of multiple views of the same tube to improve the robustness of tube top circle detection. Withmultiple candidates extracted from images under different viewpoints of the same tube, the multi-candidate selection algorithm selects an optimal combination among the candidates and provides more precise measurement of tube characteristics. The information is invaluable in an IVD environment in which a sample handler is processing the tubes and moving the tubes to analyzers for testing and analysis. 实施例提供了一种使用基于图像的基于多个候选者选择的管顶圆检测来定位输入图像中的管顶圆区域的方法。根据本文中提供的实施例,多候选者选择通过利用相同管的多个视图来提高管顶圆检测的鲁棒性来增强管圆检测的鲁棒性。借助从相同管的不同视点下的图像中提取的多个候选者,多候选者选择算法在候选者中选择最优组合,并提供更精确的管特性的测量。该信息在其中样本处置器正在处理管并将管移动到分析仪以用于测试和分析的IVD环境中是无价的。
Bibliography:Application Number: CN201880046201