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公开(公告)号:US20150301323A1
公开(公告)日:2015-10-22
申请号:US14442812
申请日:2012-11-15
Applicant: SHIMADZU CORPORATION
Inventor: Akira NODA , Hiroshi MAEKAWA
IPC: G02B21/36
CPC classification number: G02B21/36 , G01J3/0248 , G01J3/453 , G01N21/3563 , G01N2021/3595 , G02B21/365
Abstract: A system for setting, within an observed image of a sample, an analysis target region that is a region on which an analysis is to be performed by an analyzer, the system including: a characteristic quantity calculator for dividing the observed image into a plurality of areas and for calculating a predetermined image characteristic quantity in each of the divisional areas; a divisional area selector for allowing a user to select a plurality of the divisional areas; a characteristic quantity range calculator for determining a value range of the image characteristic quantity for the divisional areas to be extracted as the analysis target region, based on the values of the image characteristic quantity of the divisional areas selected through the divisional area selector; and an area extractor for extracting, from the observed image, each divisional area having a value of the image characteristic quantity included in the aforementioned value range.
Abstract translation: 一种系统,用于在样本的观察图像内设置分析对象区域,所述分析对象区域是由分析仪进行分析的区域,所述系统包括:特征量计算器,用于将所述观察图像分割成多个 并且用于计算每个分区中的预定图像特征量; 分区区域选择器,用于允许用户选择多个分区; 特征量范围计算器,用于基于通过分割区域选择器选择的分割区域的图像特征量的值,确定要提取的分割区域的图像特征量的值范围作为分析对象区域; 以及区域提取器,用于从观察到的图像中提取包括在上述值范围内的图像特征量的值的每个分割区域。
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公开(公告)号:US20190196170A1
公开(公告)日:2019-06-27
申请号:US16292613
申请日:2019-03-05
Applicant: SHIMADZU CORPORATION
Inventor: Akira NODA , Hiroshi MAEKAWA
IPC: G02B21/36 , G01J3/453 , G01N21/3563 , G01J3/02
CPC classification number: G02B21/36 , G01J3/0248 , G01J3/453 , G01N21/3563 , G01N2021/3595 , G02B21/365
Abstract: A method for setting, within an observed image of a sample, an analysis target region that is a region on which an analysis is to be performed by an analyzer, the method including displaying the observed image of the sample on the display, dividing the observed image into a plurality of divisional areas, calculating a predetermined image characteristic quantity in each of the plurality of divisional areas, designating at least two of the divisional areas of the observed image displayed on the display, calculating a distribution of the values of the image characteristic quantity of the designated divisional areas, determining a value range of the image characteristic quantity for the divisional areas to be extracted as the analysis target region, based on the calculated distribution, and extracting from the observed image each of the plurality of divisional areas having a value of the image characteristic quantity within the value range.
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