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公开(公告)号：US20100220910A1
公开(公告)日：2010-09-02
申请号：US12395761
申请日：2009-03-02
IPC分类号： G06K9/00
CPC分类号： G06T7/001 , G06T2207/10116
摘要： An anomaly detection method and system for comparing a scanned object to an idealized object is provided. The anomaly detection method includes generating a three-dimensional reference model of the idealized object. The anomaly detection method further includes acquiring at least one two-dimensional inspection test image of the scanned object. The anamoly detection method also includes determining a two-dimensional reference image from the three-dimensional reference model using multiple pose parameters, wherein the two-dimensional reference image corresponds to the same view of the three-dimensional reference model of the idealized object as the view of the two-dimensional inspection test image of the scanned object. The anamoly detection method further includes identifying one or more defects in the inspection test image via automated defect recognition technique.
摘要翻译： 提供了一种用于将扫描对象与理想对象进行比较的异常检测方法和系统。 异常检测方法包括生成理想化对象的三维参考模型。 异常检测方法还包括获取扫描对象的至少一个二维检查测试图像。 异烟草检测方法还包括使用多个姿态参数从三维参考模型确定二维参考图像，其中二维参考图像对应于理想化对象的三维参考模型的相同视图，如 查看扫描对象的二维检查测试图像。 异烟草检测方法还包括通过自动化缺陷识别技术识别检查测试图像中的一个或多个缺陷。
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公开(公告)号：US08238642B2
公开(公告)日：2012-08-07
申请号：US12274687
申请日：2008-11-20
申请人： Yanyan Wu , Donald Robert Howard , Harry Israel Ringermacher , Robert August Kaucic , Zhaohui Sun , Francis Howard Little , Xiaodong Tao , Patrick Joseph Howard , Matthew Edward Dragovich , Eric Scott Foster
发明人： Yanyan Wu , Donald Robert Howard , Harry Israel Ringermacher , Robert August Kaucic , Zhaohui Sun , Francis Howard Little , Xiaodong Tao , Patrick Joseph Howard , Matthew Edward Dragovich , Eric Scott Foster
CPC分类号： G01B11/02 , G01B11/24 , G06T7/001 , G06T7/337 , G06T2207/10048 , G06T2207/30164
摘要： A method for determining 3D distances on a 2D pixelized image of a part or object includes acquiring a real 2D pixelized image of the object, creating a simulated image of the object using the 3D CAD model and the 2D pixelized image, determining a specified cost function comparing the simulated image with the real 2D pixilated image and repositioning the simulated image in accordance with iterated adjustments of a relative position between the CAD model and the 2D pixilated image to change the simulated image until the specified cost function is below a specified value. Then, the workstation is used to generate a 3D distance scale matrix using the repositioned simulated image, and to measure and display distances between selected pixels on a surface of the real image using 2D distances on the 2D pixelized image of the object and the 3D distance scale matrix.
摘要翻译： 一种用于确定部分或对象的2D像素化图像上的3D距离的方法包括获取对象的真实2D像素化图像，使用3D CAD模型和2D像素化图像创建对象的模拟图像，确定指定的成本函数 将模拟图像与真实2D像素化图像进行比较，并根据CAD模型和2D像素化图像之间的相对位置的迭代调整重新定位模拟图像，以改变模拟图像，直到指定的成本函数低于指定值。 然后，工作站用于使用重新定位的模拟图像生成3D距离尺度矩阵，并且使用对象的2D像素化图像上的2D距离来测量和显示在实际图像的表面上的所选像素之间的距离，并且3D距离 比例矩阵。
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3.发明授权Method and system for identifying defects in radiographic image data corresponding to a scanned object 有权用于识别与扫描对象相对应的放射线图像数据中的缺陷的方法和系统公开(公告)号：US08238635B2
公开(公告)日：2012-08-07
申请号：US12052943
申请日：2008-03-21
IPC分类号： G06K9/00
CPC分类号： G06T7/001 , G06T2207/10116 , G06T2207/30004
摘要： A method for identifying defects in radiographic image data corresponding to a scanned object is provided. The method includes acquiring radiographic image data corresponding to a scanned object. In one embodiment, the radiographic image data includes an inspection test image and a reference image corresponding to the scanned object. The method includes identifying one or more regions of interest in the reference image and aligning the inspection test image with the regions of interest identified in the reference image, to obtain a residual image. The method further includes identifying one or more defects in the inspection test image based upon the residual image and one or more defect probability values computed for one or more pixels in the residual image.
摘要翻译： 提供了一种用于识别与扫描对象相对应的放射线图像数据中的缺陷的方法。 该方法包括获取与扫描对象相对应的放射线图像数据。 在一个实施例中，放射照相图像数据包括检查测试图像和对应于被扫描物体的参考图像。 该方法包括识别参考图像中的一个或多个感兴趣区域并使检查测试图像与参考图像中标识的感兴趣区域对准，以获得残差图像。 该方法还包括基于对残差图像中的一个或多个像素计算的残差图像和一个或多个缺陷概率值来识别检查测试图像中的一个或多个缺陷。
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公开(公告)号：US20100124369A1
公开(公告)日：2010-05-20
申请号：US12274687
申请日：2008-11-20
申请人： Yanyan Wu , Donald Robert Howard , Harry Israel Ringermacher , Robert August Kaucic , Zhaohui Sun , Francis Howard Little , Xiaodong Tao , Patrick Joseph Howard , Matthew Edward Dragovich , Eric Scott Foster
发明人： Yanyan Wu , Donald Robert Howard , Harry Israel Ringermacher , Robert August Kaucic , Zhaohui Sun , Francis Howard Little , Xiaodong Tao , Patrick Joseph Howard , Matthew Edward Dragovich , Eric Scott Foster
CPC分类号： G01B11/02 , G01B11/24 , G06T7/001 , G06T7/337 , G06T2207/10048 , G06T2207/30164
摘要： A method for determining 3D distances on a 2D pixelized image of a part or object includes acquiring a real 2D pixelized image of the object, creating a simulated image of the object using the 3D CAD model and the 2D pixelized image, determining a specified cost function comparing the simulated image with the real 2D pixilated image and repositioning the simulated image in accordance with iterated adjustments of a relative position between the CAD model and the XID pixilated image to change the simulated image until the specified cost function is below a specified value. Then, the workstation is used to generate a 3D distance scale matrix using the repositioned simulated image, and to measure and display distances between selected pixels on a surface of the real image using 2D distances on the 2D pixelized image of the object and the 3D distance scale matrix.
摘要翻译： 一种用于确定部分或对象的2D像素化图像上的3D距离的方法包括获取对象的真实2D像素化图像，使用3D CAD模型和2D像素化图像创建对象的模拟图像，确定指定的成本函数 将模拟图像与真实2D像素化图像进行比较，并根据CAD模型和XID像素化图像之间的相对位置的迭代调整重新定位模拟图像，以改变模拟图像，直到指定的成本函数低于指定值。 然后，工作站用于使用重新定位的模拟图像生成3D距离尺度矩阵，并且使用对象的2D像素化图像上的2D距离来测量和显示在实际图像的表面上的所选像素之间的距离，并且3D距离 比例矩阵。
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5.发明申请METHOD AND SYSTEM FOR IDENTIFYING DEFECTS IN RADIOGRAPHIC IMAGE DATA CORRESPONDING TO A SCANNED OBJECT 有权用于识别与扫描对象相关的放射图像数据中的缺陷的方法和系统公开(公告)号：US20090238432A1
公开(公告)日：2009-09-24
申请号：US12052943
申请日：2008-03-21
IPC分类号： G06K9/00
CPC分类号： G06T7/001 , G06T2207/10116 , G06T2207/30004
摘要： A method for identifying defects in radiographic image data corresponding to a scanned object is provided. The method includes acquiring radiographic image data corresponding to a scanned object. In one embodiment, the radiographic image data includes an inspection test image and a reference image corresponding to the scanned object. The method includes identifying one or more regions of interest in the reference image and aligning the inspection test image with the regions of interest identified in the reference image, to obtain a residual image. The method further includes identifying one or more defects in the inspection test image based upon the residual image and one or more defect probability values computed for one or more pixels in the residual image.
摘要翻译： 提供了一种用于识别与扫描对象相对应的放射线图像数据中的缺陷的方法。 该方法包括获取与扫描对象相对应的放射线图像数据。 在一个实施例中，放射照相图像数据包括检查测试图像和对应于被扫描物体的参考图像。 该方法包括识别参考图像中的一个或多个感兴趣区域并使检查测试图像与参考图像中标识的感兴趣区域对准，以获得残差图像。 该方法还包括基于对残差图像中的一个或多个像素计算的残差图像和一个或多个缺陷概率值来识别检查测试图像中的一个或多个缺陷。
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公开(公告)号：US08131107B2
公开(公告)日：2012-03-06
申请号：US12118895
申请日：2008-05-12
申请人： Zhaohui Sun , Ali Can , John Charles Janning , Robert August Kaucic , Paulo Ricardo Mendonca , Joseph Manuel Portaz
发明人： Zhaohui Sun , Ali Can , John Charles Janning , Robert August Kaucic , Paulo Ricardo Mendonca , Joseph Manuel Portaz
IPC分类号： G06K9/38
CPC分类号： G06K9/6298 , G06T7/001 , G06T7/35 , G06T2207/10116 , G06T2207/20076 , G06T2207/20081 , G06T2207/30108
摘要： An anomaly detection method includes acquiring image data corresponding to nondestructive testing (NDT) of a scanned object. The NDT image data comprises at least one inspection test image of the scanned object and multiple reference images for the scanned object. The anomaly detection method further includes generating an anomaly detection model based on a statistical analysis of one or more image features in the reference images for the scanned object and identifying one or more defects in the inspection test image, based on the anomaly detection model.
摘要翻译： 异常检测方法包括获取对应于扫描对象的无损检测（NDT）的图像数据。 NDT图像数据包括扫描对象的至少一个检查测试图像和用于扫描对象的多个参考图像。 所述异常检测方法还包括：基于所述异常检测模型，基于所扫描对象的参考图像中的一个或多个图像特征的统计分析和所述检查测试图像中的一个或多个缺陷来生成异常检测模型。
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公开(公告)号：US20090279772A1
公开(公告)日：2009-11-12
申请号：US12118895
申请日：2008-05-12
申请人： Zhaohui Sun , Ali Can , John Charles Janning , Robert August Kaucic , Paulo Ricardo Mendonca , Joseph Manuel Portaz
发明人： Zhaohui Sun , Ali Can , John Charles Janning , Robert August Kaucic , Paulo Ricardo Mendonca , Joseph Manuel Portaz
IPC分类号： G06K9/00
CPC分类号： G06K9/6298 , G06T7/001 , G06T7/35 , G06T2207/10116 , G06T2207/20076 , G06T2207/20081 , G06T2207/30108
摘要： An anomaly detection method includes acquiring image data corresponding to nondestructive testing (NDT) of a scanned object. The NDT image data comprises at least one inspection test image of the scanned object and multiple reference images for the scanned object. The anomaly detection method further includes generating an anomaly detection model based on a statistical analysis of one or more image features in the reference images for the scanned object and identifying one or more defects in the inspection test image, based on the anomaly detection model.
摘要翻译： 异常检测方法包括获取对应于扫描对象的无损检测（NDT）的图像数据。 NDT图像数据包括扫描对象的至少一个检查测试图像和用于扫描对象的多个参考图像。 所述异常检测方法还包括：基于所述异常检测模型，基于所扫描对象的参考图像中的一个或多个图像特征的统计分析和所述检查测试图像中的一个或多个缺陷来生成异常检测模型。
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8.发明申请公开(公告)号：US20110182495A1
公开(公告)日：2011-07-28
申请号：US12693474
申请日：2010-01-26
IPC分类号： G06K9/00
CPC分类号： G06T7/0004 , G06T7/48 , G06T2207/10081 , G06T2207/10088 , G06T2207/10116 , G06T2207/10136 , G06T2207/20016 , G06T2207/20021 , G06T2207/30164
摘要： A method for an anomaly detection method is provided. The method includes acquiring at least one two-dimensional or three-dimensional or n-dimensional inspection test image data of a scanned object. The method further includes partitioning the inspection test image data of the scanned object into multiple sub-regions. The method also includes computing one or more texture metrics for each sub-region. Finally, the method includes discriminating between an anomalous and a non-anomalous region in the scanned object according to one or more values of the computed texture metrics and identifying one or more anomalies in the inspection test image data.
摘要翻译： 提供了一种异常检测方法。 该方法包括获取被扫描对象的至少一个二维或三维或n维检查测试图像数据。 该方法还包括将扫描对象的检查测试图像数据划分成多个子区域。 该方法还包括计算每个子区域的一个或多个纹理度量。 最后，该方法包括根据所计算的纹理度量的一个或多个值来区分被扫描对象中的异常区域和非异常区域，并识别检查测试图像数据中的一个或多个异常。
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公开(公告)号：US08036863B2
公开(公告)日：2011-10-11
申请号：US12362988
申请日：2009-01-30
申请人： David P Schankin , Suhui W Wang , Chih-Hung Chung , Zhaohui Sun
发明人： David P Schankin , Suhui W Wang , Chih-Hung Chung , Zhaohui Sun
IPC分类号： G06F17/10
CPC分类号： F16C35/067 , F16H57/021 , F16H57/037 , Y10S345/952 , Y10S345/954
摘要： A method for customizing a bearing bore in a housing so that the bearing assembly will transmit load in a desired manner over a predetermined range of operating temperatures.
摘要翻译： 一种用于定制壳体中的轴承孔的方法，使得轴承组件将在预定的操作温度范围内以期望的方式传递负载。
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公开(公告)号：US07533756B2
公开(公告)日：2009-05-19
申请号：US12009154
申请日：2008-01-16
申请人： Dumitru F. Patrascu , Zhaohui Sun
发明人： Dumitru F. Patrascu , Zhaohui Sun
IPC分类号： F16C3/00
CPC分类号： F16F15/10 , B60G2206/20 , B60G2206/427 , B60K17/22 , F16C3/02 , F16C2326/06 , F16F2224/0225 , Y10T464/50
摘要： A propshaft assembly includes a shaft structure having a hollow cavity and an insert member being positioned within the hollow cavity and engaging the shaft structure. The shaft structure vibrates in response to receipt of an input of a predetermined frequency such that a shell mode anti-node is generated. The insert member is located at a position that approximately corresponds to the anti-node and has a compressive strength that is tailored to an anticipated displacement of the anti-node to thereby attenuate vibration of the shaft structure.
摘要翻译： 传动轴组件包括具有中空腔的轴结构和插入构件，所述插入构件定位在中空空腔内并与轴结构接合。 轴结构响应于接收到预定频率的输入而振动，从而产生壳模式反节点。 插入构件位于大致对应于抗节点的位置，并且具有针对抗节点的预期位移量度的抗压强度，从而减弱轴结构的振动。
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