-
公开(公告)号：US09305345B2
公开(公告)日：2016-04-05
申请号：US14260624
申请日：2014-04-24
Applicant: General Electric Company
Inventor： Ser Nam Lim , Jose Abiel Garza , David Scott Diwinsky , Li Guan , Shubao Liu , Xingwei Yang , Jens Rittscher
CPC classification number: G06T7/0004 , G01N2021/8896 , G06K9/52 , G06T7/001 , G06T7/80 , G06T17/00 , G06T19/00 , G06T2200/24 , G06T2207/30164 , G06T2207/30204 , G06T2219/012 , H04N17/00
Abstract: A method for image based inspection of an object includes receiving an image of an object from an image capture device, wherein the image includes a representation of the object with mil-level precision. The method further includes projecting a measurement feature of the object from the image onto a three-dimensional (3D) model of the object based on a final projection matrix; determining a difference between the projected measurement feature and an existing measurement feature on the 3D model; and sending a notification including the difference between the projected measurement feature and the existing measurement feature.
Abstract translation: 一种用于对对象进行图像检查的方法包括从图像捕获装置接收对象的图像，其中所述图像包括具有密度级精度的对象的表示。 所述方法还包括基于最终投影矩阵将所述对象的测量特征从所述图像投影到所述对象的三维（3D）模型上; 确定投影测量特征与3D模型上现有测量特征之间的差异; 并发送包括预测测量特征与现有测量特征之间的差异的通知。
-
公开(公告)号：US09251421B2
公开(公告)日：2016-02-02
申请号：US13918905
申请日：2013-06-15
Applicant: General Electric Company
Inventor： Peter Henry Tu , Jens Rittscher , Li Guan
CPC classification number: G06K9/00671 , G06F17/30781 , G06K9/00718 , G06K9/00771 , G06K9/62 , G06K9/6224 , G06K9/6288
Abstract: In accordance with one aspect of the present technique, a method is disclosed. The method includes receiving a new video from one or more sensors and generating a new content graph (CG) based on the new video. The method also includes comparing the new CG with a plurality of prior CGs. The method further includes identifying a first portion of the new CG matching a portion of a first prior CG and a second portion of the new CG matching a portion of the second prior CG. The method further includes analyzing a first set of semantic annotations (SAs) associated with the portion of the first prior CG and a second set of SAs associated with the portion of the second prior CG. The method further includes generating a sequence of SAs for the new video based on the analysis of the first and the second set of SAs.
Abstract translation: 根据本技术的一个方面，公开了一种方法。 该方法包括从一个或多个传感器接收新的视频，并且基于新的视频生成新的内容图形（CG）。 该方法还包括将新的CG与多个先前的CG进行比较。 该方法还包括识别新CG匹配的第一部分，匹配第一先前CG的一部分和新CG匹配第二先前CG的一部分的第二部分。 该方法还包括分析与第一先前CG的部分相关联的第一组语义注释（SA）和与第二先前CG的部分相关联的第二组SA。 该方法还包括基于对第一和第二组SA的分析来生成用于新视频的SA序列。
-
公开(公告)号：US20140072171A1
公开(公告)日：2014-03-13
申请号：US13918905
申请日：2013-06-15
Applicant: General Electric Company
Inventor： Peter Henry Tu , Jens Rittscher , Li Guan
IPC: G06K9/00
CPC classification number: G06K9/00671 , G06F17/30781 , G06K9/00718 , G06K9/00771 , G06K9/62 , G06K9/6224 , G06K9/6288
Abstract: In accordance with one aspect of the present technique, a method is disclosed. The method includes receiving a new video from one or more sensors and generating a new content graph (CG) based on the new video. The method also includes comparing the new CG with a plurality of prior CGs. The method further includes identifying a first portion of the new CG matching a portion of a first prior CG and a second portion of the new CG matching a portion of the second prior CG. The method further includes analyzing a first set of semantic annotations (SAs) associated with the portion of the first prior CG and a second set of SAs associated with the portion of the second prior CG. The method further includes generating a sequence of SAs for the new video based on the analysis of the first and the second set of SAs.
Abstract translation: 根据本技术的一个方面，公开了一种方法。 该方法包括从一个或多个传感器接收新的视频，并且基于新的视频生成新的内容图形（CG）。 该方法还包括将新的CG与多个先前的CG进行比较。 该方法还包括识别新CG匹配的第一部分，匹配第一先前CG的一部分和新CG匹配第二先前CG的一部分的第二部分。 该方法还包括分析与第一先前CG的部分相关联的第一组语义注释（SA）和与第二先前CG的部分相关联的第二组SA。 该方法还包括基于对第一和第二组SA的分析来生成用于新视频的SA序列。
-
14.发明申请BIOLOGICAL UNIT SEGMENTATION WITH RANKING BASED ON SIMILARITY APPLYING A GEOMETRIC SHAPE AND SCALE MODEL 有权基于相似性的生物单位分类应用几何形状和规模模型公开(公告)号：US20140023260A1
公开(公告)日：2014-01-23
申请号：US13666343
申请日：2012-11-01
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Yuchi Huang , Alberto Santamaria-Pang , Jens Rittscher
IPC: G06K9/34
CPC classification number: G06T7/155 , G06K9/0014 , G06K9/44 , G06T7/11 , G06T2207/10056 , G06T2207/20016 , G06T2207/20036 , G06T2207/20152 , G06T2207/30024
Abstract: Embodiments of the disclosure are directed to segmenting a digital image of biological tissue into biological units, such as cells. A first weak or data driven segmentation is generated using image data representing the digital image to segment the digital image into a first set of biological units. Applying a geometric model, each unit in the first set of biological units is ranked based on a similarity in shape and scale between the unit and one or more other units in the image. A subset of units from the first set of biological units is selected based on the rank of each biological unit relative to a predetermined threshold rank. A second weak or data driven segmentation may then be generated using image data including the subset of biological units to segment that portion of the digital image into a second set of biological units.
Abstract translation: 本公开的实施例涉及将生物组织的数字图像分割成诸如细胞的生物单元。 使用表示数字图像的图像数据来生成第一弱或数据驱动的分割，以将数字图像分割成第一组生物单元。 应用几何模型，基于图像中的单元和一个或多个其他单元之间的形状和尺度的相似性对第一组生物单元中的每个单元进行排序。 基于每个生物单元相对于预定阈值秩的等级来选择来自第一组生物单元的单元的子集。 然后可以使用包括生物单元的子集的图像数据来生成第二弱或数据驱动的分割，以将数字图像的该部分分割成第二组生物单元。
-
-
-
Search Results
14
records
(took 0.015 seconds)
