-
公开(公告)号：US08345949B2
公开(公告)日：2013-01-01
申请号：US12720234
申请日：2010-03-09
Applicant: Fei Zhao , Robert August Kaucic , Paulo Ricardo Mendonca
Inventor： Fei Zhao , Robert August Kaucic , Paulo Ricardo Mendonca
IPC: G06K9/00
CPC classification number: G06T7/0004 , G06T2207/10081 , G06T2207/20012 , G06T2207/20016 , G06T2207/30116 , G06T2207/30164
Abstract: A method of automatic defect recognition includes receiving a initial set of inspection image data of a scanned object from a scanning machine; applying a first image analysis algorithm to this set of inspection image data; then removing from the set of inspection image data any defect-free image regions, so as to retain a set of analyzed inspection image data; applying an additional image analysis algorithm(s) to the set of analyzed inspection image data, wherein the additional algorithm(s) has a higher computational cost than the first image analysis algorithm; and based on the applying of the additional image analysis algorithm(s), removing from the first set of inspection image data a second set of defect-free image regions, thereby retaining a set of twice-analyzed inspection image data.
Abstract translation: 一种自动缺陷识别方法包括从扫描机接收扫描物体的初始检查图像数据集; 对该组检查图像数据应用第一图像分析算法; 然后从所述一组检查图像数据中去除任何无缺陷的图像区域，以便保留一组分析的检查图像数据; 对所分析的检查图像数据集合应用附加图像分析算法，其中所述附加算法具有比所述第一图像分析算法更高的计算成本; 并且基于附加图像分析算法的应用，从第一组检查图像数据中移除第二组无缺陷图像区域，从而保留一组两次分析的检查图像数据。
-
2.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
Applicant: Ali Can , Robert August Kaucic , Paulo Ricardo Mendonca , Zhaohui Sun , Joseph Manuel Portaz
Inventor： Ali Can , Robert August Kaucic , Paulo Ricardo Mendonca , Zhaohui Sun , Joseph Manuel Portaz
IPC: G06K9/00
CPC classification number: G06T7/001 , G06T2207/10116 , G06T2207/30004
Abstract: 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.
Abstract translation: 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。
-
公开(公告)号：US08238642B2
公开(公告)日：2012-08-07
申请号：US12274687
申请日：2008-11-20
Applicant: 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
Inventor： 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 classification number: G01B11/02 , G01B11/24 , G06T7/001 , G06T7/337 , G06T2207/10048 , G06T2207/30164
Abstract: 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.
Abstract translation: 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。
-
公开(公告)号：US20110222754A1
公开(公告)日：2011-09-15
申请号：US12720234
申请日：2010-03-09
Applicant: Fei Zhao , Robert August Kaucic , Paulo Ricardo Mendonca
Inventor： Fei Zhao , Robert August Kaucic , Paulo Ricardo Mendonca
IPC: G06K9/62
CPC classification number: G06T7/0004 , G06T2207/10081 , G06T2207/20012 , G06T2207/20016 , G06T2207/30116 , G06T2207/30164
Abstract: A method of automatic defect recognition includes receiving a initial set of inspection image data of a scanned object from a scanning machine; applying a first image analysis algorithm to this set of inspection image data; then removing from the set of inspection image data any defect-free image regions, so as to retain a set of analyzed inspection image data; applying an additional image analysis algorithm(s) to the set of analyzed inspection image data, wherein the additional algorithm(s) has a higher computational cost than the first image analysis algorithm; and based on the applying of the additional image analysis algorithm(s), removing from the first set of inspection image data a second set of defect-free image regions, thereby retaining a set of twice-analyzed inspection image data.
Abstract translation: 一种自动缺陷识别方法包括从扫描机接收扫描物体的初始检查图像数据集; 对该组检查图像数据应用第一图像分析算法; 然后从所述一组检查图像数据中去除任何无缺陷的图像区域，以便保留一组分析的检查图像数据; 对所分析的检查图像数据集合应用附加图像分析算法，其中所述附加算法具有比所述第一图像分析算法更高的计算成本; 并且基于附加图像分析算法的应用，从第一组检查图像数据中移除第二组无缺陷图像区域，从而保留一组两次分析的检查图像数据。
-
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
Applicant: Ali Can , Robert August Kaucic , Paulo Ricardo Mendonca , Zhaohui Sun , Joseph Manuel Portaz
Inventor： Ali Can , Robert August Kaucic , Paulo Ricardo Mendonca , Zhaohui Sun , Joseph Manuel Portaz
IPC: G06K9/00
CPC classification number: G06T7/001 , G06T2207/10116 , G06T2207/30004
Abstract: 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.
Abstract translation: 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。
-
Patent Agency Ranking
6.发明授权Methods and apparatus for processing image data to aid in detecting disease 有权用于处理图像数据以辅助检测疾病的方法和装置公开(公告)号：US07346203B2
公开(公告)日：2008-03-18
申请号：US10717861
申请日：2003-11-19
Applicant: Matthew William Turek , Joseph Leagrand Mundy , Tony Chi-shao Pan , Peter Henry Tu , James Vradenburg Miller , Robert August Kaucic, Jr. , Xiaoye Wu , Paulo Ricardo dos Santos Mendonca
Inventor： Matthew William Turek , Joseph Leagrand Mundy , Tony Chi-shao Pan , Peter Henry Tu , James Vradenburg Miller , Robert August Kaucic, Jr. , Xiaoye Wu , Paulo Ricardo dos Santos Mendonca
CPC classification number: G06T7/0012 , G06F19/00 , G06F19/321 , G06T2207/30061 , G16H50/20
Abstract: A method for detecting, quantifying, staging, reporting, and/or tracking of a disease includes providing analysis software configured to detect, quantify, stage, report, and/or track a disease utilizing images of a patient. The analysis software is executable on a personal computer of a patient. Patients are then imaged utilizing a medical imaging apparatus and medical images of the patient produced by the imaging apparatus are downloaded to the personal computer of the patient. The imaging and downloading are repeated a plurality of times at intervals selected to provide the analysis software with sufficient images to detect, quantify, stage, report, and/or track the disease in the patient.
Abstract translation: 用于检测，量化，分期，报告和/或跟踪疾病的方法包括提供被配置为利用患者的图像来检测，量化，分段，报告和/或跟踪疾病的分析软件。 分析软件可在患者的个人计算机上执行。 然后使用医学成像装置对患者进行成像，并且将由成像装置产生的患者的医学图像下载到患者的个人计算机。 以选择的间隔重复成像和下载多次，以使分析软件具有足够的图像以检测，量化，分级，报告和/或跟踪患者的疾病。
-
公开(公告)号：US08208711B2
公开(公告)日：2012-06-26
申请号：US11851422
申请日：2007-09-07
Applicant: Rajashekar Venkatachalam , Mahesh Kumar Asati , Prakash Mandayam Comare , Megha Navalgund , Xiaoming Liu , Robert August Kaucic , Joseph Manuel Portaz , Manoharan Venugopal
Inventor： Rajashekar Venkatachalam , Mahesh Kumar Asati , Prakash Mandayam Comare , Megha Navalgund , Xiaoming Liu , Robert August Kaucic , Joseph Manuel Portaz , Manoharan Venugopal
CPC classification number: G01N23/04 , G01N2223/63
Abstract: A method for automatically identifying defects in turbine engine blades is provided. The method comprises acquiring one or more radiographic images corresponding to one or more turbine engine blades and identifying one or more regions of interest from the one or more radiographic images. The method then comprises extracting one or more geometric features based on the one or more regions of interest and analyzing the one or more geometric features to identify one or more defects in the turbine engine blades.
Abstract translation: 提供一种用于自动识别涡轮发动机叶片中的缺陷的方法。 所述方法包括获取对应于一个或多个涡轮发动机叶片的一个或多个放射照相图像，并从所述一个或多个放射照相图像识别感兴趣的一个或多个区域。 该方法然后包括基于所述一个或多个感兴趣区域提取一个或多个几何特征，并且分析所述一个或多个几何特征以识别所述涡轮发动机叶片中的一个或多个缺陷。
-
公开(公告)号：US20110102430A1
公开(公告)日：2011-05-05
申请号：US12609071
申请日：2009-10-30
Applicant: Jeffrey Wayne Eberhard , Peter Michael Edic , Bernhard Erich Hermann Claus , Robert August Kaucic
Inventor： Jeffrey Wayne Eberhard , Peter Michael Edic , Bernhard Erich Hermann Claus , Robert August Kaucic
CPC classification number: G06T11/008 , G06T2211/436 , H04N2213/006
Abstract: A method and system for presenting images of an object of interest is provided. The method includes producing one or more cine loops of images from at least one of multiple projection views or multiple reconstructed 3D images including a 3D volume obtained from one or more beamlines. The method also includes generating at least one combined image including a first component and a second component wherein the first component and the second component each include one of a baseline image or the one or more cine loops of images. The combined image is generated via at least one of superimposing the first component and the second component, displaying the first component adjacent to the second component, and toggling between the first component and the second component. The method also includes displaying the at least one combined image.
Abstract translation: 提供了一种用于呈现感兴趣对象的图像的方法和系统。 该方法包括从多个投影视图或多个重建3D图像中的至少一个生成包括从一个或多个光束线获得的3D体积的图像的一个或多个电影循环。 该方法还包括生成包括第一组件和第二组件的至少一个组合图像，其中第一组件和第二组件各自包括基线图像或图像的一个或多个电影循环之一。 组合图像通过叠加第一分量和第二分量中的至少一个产生，显示与第二分量相邻的第一分量，以及在第一分量与第二分量之间切换。 该方法还包括显示至少一个组合图像。
-
9.发明授权System and method for detecting an object by dynamically adjusting computational load 有权通过动态调整计算负荷来检测物体的系统和方法公开(公告)号：US07889835B2
公开(公告)日：2011-02-15
申请号：US10737887
申请日：2003-12-18
Applicant: Robert August Kaucic , Ricardo Scott Avila , Samit Kumar Basu , Forrest Frank Hopkins
Inventor： Robert August Kaucic , Ricardo Scott Avila , Samit Kumar Basu , Forrest Frank Hopkins
CPC classification number: G01V5/0016 , G01V5/005 , Y10S378/901
Abstract: A system and method for ascertaining the identity of an object within an enclosed article. The system includes an acquisition subsystem, a reconstruction subsystem, a computer-aided detection (CAD) subsystem, and an alarm resolution subsystem. The acquisition subsystem communicates view data to the reconstruction subsystem, which reconstructs it into image data and communicates it to the CAD subsystem. The CAD subsystem analyzes the image data to ascertain whether it contains any area of interest. A feedback loop between the reconstruction and CAD subsystems allows for continued, more extensive analysis of the object. Other information, such as risk variables or trace chemical detection information may be communicated to the CAD subsystem to dynamically adjust the computational load of the analysis.
Abstract translation: 用于确定封闭物品内物体的身份的系统和方法。 该系统包括采集子系统，重建子系统，计算机辅助检测（CAD）子系统和报警解析子系统。 采集子系统将视图数据传送到重建子系统，将其重建为图像数据并将其传送到CAD子系统。 CAD子系统分析图像数据，以确定它是否包含任何感兴趣的区域。 重建和CAD子系统之间的反馈循环允许对对象进行持续更广泛的分析。 其他信息，如风险变量或痕量化学检测信息可以传达给CAD子系统，以动态调整分析的计算负荷。
-
公开(公告)号：US20100220910A1
公开(公告)日：2010-09-02
申请号：US12395761
申请日：2009-03-02
Applicant: Robert August Kaucic , James Vradenburg Miller , Ali Can , Zhaohui Sun , Xiaodong Tao
Inventor： Robert August Kaucic , James Vradenburg Miller , Ali Can , Zhaohui Sun , Xiaodong Tao
IPC: G06K9/00
CPC classification number: G06T7/001 , G06T2207/10116
Abstract: 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.
Abstract translation: 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。
-
-
-
-
-
-
-
-
-
Search Results
23
records
(took 0.008 seconds)
