公开(公告)号：US07583852B2

公开(公告)日：2009-09-01

申请号：US10974423

申请日：2004-10-26

申请人： Vidya Venkatachalam

发明人： Vidya Venkatachalam

IPC分类号： G06K9/40 ,  G06K9/00

CPC分类号： G06T5/30 ,  G06T5/005 ,  G06T2200/24 ,  G06T2207/30141 ,  G06T2207/30164

摘要： A structured morphology filtering method is disclosed for filtering an image for high precision machine vision metrology using specifically-determined structuring elements to precisely preserve the location of specific features in the filtered image. A selected structuring element shape generally exhibits geometric similarity with at least a portion of the feature to be preserved in the filtered image. The structuring element may be oriented to corresponds to the orientation of the feature to be inspected. For example, for a linear feature to be inspected, the optimal structuring element is a line or narrow rectangle at the same orientation, while for images of circles, it is a circle. The orientation of the structuring element may be determined or adjusted automatically during a set of automatic inspection operations, based on an automatic determination of the orientation of the feature to be inspected.

摘要翻译： 公开了一种结构化形态滤波方法，用于使用特定结构元素过滤用于高精度机器视觉测量的图像，以精确地保留滤波图像中特定特征的位置。 所选择的结构元素形状通常显示与待滤波图像中要保留的特征的至少一部分的几何相似性。 结构元件可以被定向成对应于待检查的特征的取向。 例如，对于要检查的线性特征，最佳结构元素是相同方向的线或窄矩形，而对于圆形图像，它是圆形。 可以基于自动确定要检查的特征的方位，在一组自动检查操作期间自动确定或调整结构元件的取向。

公开(公告)号：US20050219554A1

公开(公告)日：2005-10-06

申请号：US10815893

申请日：2004-03-31

申请人： Joseph Tobiason ,  Michelle Milvich ,  Vidya Venkatachalam

发明人： Joseph Tobiason ,  Michelle Milvich ,  Vidya Venkatachalam

IPC分类号： G01B11/00 ,  G01B11/14 ,  G01C19/00 ,  G01C25/00 ,  G01D5/26 ,  G01D18/00 ,  G01F25/00

CPC分类号： G01D5/262 ,  G01B11/002 ,  G01D5/26 ,  G01D5/347

摘要： A position sensor using a novel structured light generating scale or target member is provided. An imaging array is capable of measuring the relative translation and orientation of the structured light generating scale or target member in X, Y, Z, yaw, pitch, and roll (“6D”) simultaneously, and with high precision. The target member includes an array of lenses that provide an array of structured light patterns that diverge, converge, or both, to change the size of the corresponding structured light image as a function of the “Z” coordinate of the relative position, in various embodiments. The X-Y position of each individual structured light image on the imaging array varies with the relative X-Y position of the structured light generating target member, and the shape of structured light image changes as a function of the relative angular orientation. Accordingly, three or more structured light images analyzed in the same image are usable to determine a 6D measurement between the structured light generating target member and the array detector. X and Y displacement of the target member can be accumulated by known methods and the other 6D measurement components are absolute measurements at any position.

摘要翻译： 提供了一种使用新型结构光产生标尺或目标构件的位置传感器。 成像阵列能够以高精度同时测量X，Y，Z，偏转，俯仰和滚动（“6D”）中的结构光产生标尺或目标构件的相对平移和取向。 目标构件包括透镜阵列，其提供发散，会聚或两者的结构光图案阵列，以根据相对位置的“Z”坐标改变相应结构光图像的大小，以各种方式 实施例。 成像阵列上的每个单独的结构光图像的X-Y位置随着结构化光产生目标构件的相对X-Y位置而变化，并且结构化光图像的形状作为相对角度取向的函数而变化。 因此，在相同图像中分析的三个或更多个结构光图像可用于确定结构化光产生目标构件和阵列检测器之间的6D测量。 目标构件的X和Y位移可以通过已知方法积累，其他6D测量分量是任何位置的绝对测量。

公开(公告)号：US08817115B1

公开(公告)日：2014-08-26

申请号：US13102003

申请日：2011-05-05

申请人： Vidya Venkatachalam

发明人： Vidya Venkatachalam

IPC分类号： H04N5/228

CPC分类号： G01N15/147 ,  G01J3/28 ,  G01J3/2803 ,  G01N15/1429 ,  G01N2015/1006

摘要： A method to perform spatial alignment and spectral compensation for a multi-channel flow imaging system that acquires image data from a single imaging region is disclosed in U.S. Pat. No. 7,079,708. The spatial corrections disclosed therein are static, and do not vary unless the alignment of optical components in the imaging system or the specific detector are modified. However, when image data is acquired from two different imaging regions that are spaced apart along an axis of motion between the object being imaged and the imaging system, dynamic spatial offsets are induced between image data acquired from a first imaging region and image data acquired from a second, spaced apart imaging region. The dynamic spatial offsets are a function of an error in an estimated velocity of the object as it moves between the imaging regions, and may vary from object to object. Techniques for correcting dynamic spatial offsets are disclosed.

摘要翻译： 在从单个成像区域获取图像数据的多通道流动成像系统执行空间对准和光谱补偿的方法在美国专利No. 7,079,708。 其中公开的空间校正是静态的，并且不改变，除非修改成像系统或特定检测器中的光学部件的对准。 然而，当从被成像对象和成像系统之间的运动轴间隔开的两个不同的成像区域获取图像数据时，在从第一成像区域获取的图像数据和从第一成像区域获取的图像数据之间产生动态空间偏移 第二，间隔开的成像区域。 动态空间偏移是物体在成像区域之间移动时的估计速度中的误差的函数，并且可以随物体而变化。 公开了用于校正动态空间偏移的技术。

公开(公告)号：US20080317325A1

公开(公告)日：2008-12-25

申请号：US12181062

申请日：2008-07-28

申请人： William Ortyn ,  David Basiji ,  Luchuan Liang ,  Vidya Venkatachalam ,  Philip Morrissey

发明人： William Ortyn ,  David Basiji ,  Luchuan Liang ,  Vidya Venkatachalam ,  Philip Morrissey

IPC分类号： G06K9/00

CPC分类号： G01N15/147 ,  G01N15/1475 ,  G01N21/6428 ,  G01N21/6458 ,  G01N33/5005 ,  G01N33/505 ,  G01N2021/6441

摘要： Photometric and morphometric features derived from multi-mode imaged. An imaging system simultaneously acquires a plurality of images for each cell passing through the field of view of the imaging system. Acquiring a plurality of different images (i.e., bright field, dark field, and fluorescent images) facilitates the determination of different morphological and morphometric parameters. Simultaneously acquiring the plurality of images enables relatively large populations of cells to be rapidly imaged, so that relatively small numbers of cancer cells in a large population of cells can be detected. Initially, known cancer cells are imaged to enable a marker to be identified. Then, a sample that may include cancer cells is imaged to determine if the marker is present.

摘要翻译： 从多模式成像得到的光度和形态特征。 成像系统同时获取通过成像系统的视野的每个单元的多个图像。 获取多个不同的图像（即，亮场，暗场和荧光图像）有助于确定不同的形态和形态测量参数。 同时获取多个图像使得能够快速成像相对较大数量的细胞，从而可以检测大量细胞中相对少数量的癌细胞。 首先，将已知的癌细胞成像以使得能够鉴定标记。 然后，可以包含癌细胞的样品被成像以确定标记物是否存在。

公开(公告)号：US07307736B2

公开(公告)日：2007-12-11

申请号：US10815893

申请日：2004-03-31

申请人： Joseph Daniel Tobiason ,  Michelle Mary Milvich ,  Vidya Venkatachalam

发明人： Joseph Daniel Tobiason ,  Michelle Mary Milvich ,  Vidya Venkatachalam

IPC分类号： G01B11/14

CPC分类号： G01D5/262 ,  G01B11/002 ,  G01D5/26 ,  G01D5/347

摘要： A position sensor using a novel structured light generating scale or target member is provided. An imaging array is capable of measuring the relative translation and orientation of the structured light generating scale or target member in X, Y, Z, yaw, pitch, and roll (“6D”) simultaneously, and with high precision. The target member includes an array of lenses that provide an array of structured light patterns that diverge, converge, or both, to change the size of the corresponding structured light image as a function of the “Z” coordinate of the relative position, in various embodiments. The X-Y position of each individual structured light image on the imaging array varies with the relative X-Y position of the structured light generating target member, and the shape of structured light image changes as a function of the relative angular orientation. Accordingly, three or more structured light images analyzed in the same image are usable to determine a 6D measurement between the structured light generating target member and the array detector. X and Y displacement of the target member can be accumulated by known methods and the other 6D measurement components are absolute measurements at any position.

摘要翻译： 提供了一种使用新型结构光产生标尺或目标构件的位置传感器。 成像阵列能够以高精度同时测量X，Y，Z，偏转，俯仰和滚动（“6D”）中的结构光产生标尺或目标构件的相对平移和取向。 目标构件包括透镜阵列，其提供发散，会聚或两者的结构光图案阵列，以根据相对位置的“Z”坐标改变相应结构光图像的大小，以各种方式 实施例。 成像阵列上的每个单独的结构光图像的X-Y位置随着结构化光产生目标构件的相对X-Y位置而变化，并且结构化光图像的形状作为相对角度取向的函数而变化。 因此，在相同图像中分析的三个或更多个结构光图像可用于确定结构化光产生目标构件和阵列检测器之间的6D测量。 目标构件的X和Y位移可以通过已知方法积累，其他6D测量分量是任何位置的绝对测量。

公开(公告)号：US07075097B2

公开(公告)日：2006-07-11

申请号：US10808849

申请日：2004-03-25

申请人： Joseph Daniel Tobiason ,  Michelle Mary Milvich ,  Michael Nahum ,  Vidya Venkatachalam

发明人： Joseph Daniel Tobiason ,  Michelle Mary Milvich ,  Michael Nahum ,  Vidya Venkatachalam

IPC分类号： G01N21/00

CPC分类号： G01D5/34723 ,  G01D5/268

摘要： A position sensor using a novel optical path array (OPA) element, an angle-selective spatial filter, and an imaging array is capable of measuring the translation and orientation relative to a target member in X, Y, Z, yaw, pitch, and roll (“6D”) simultaneously, and with high precision. A target member includes an array of target points surrounded by a contrasting surface. The position sensor uses the OPA element in combination with the angle-selective spatial filter in a target point imaging arrangement such that the imaging array of the position sensor only receives light rays that enter the OPA element according to an operable cone angle α. Accordingly, each target point generally produces a ring-shaped image having a size on the imaging array that varies with the Z position of each target point. The X-Y position of each target point image on the imaging array varies with the X-Y position of each target point. Accordingly, three or more target point images analyzed in the same image are usable to determine a 6D measurement relative to the target member. X and Y displacement of the target member can be accumulated by known methods and the other 6D measurement components are absolute measurements at any position.

摘要翻译： 使用新型光路阵列（OPA）元件，角度选择性空间滤波器和成像阵列的位置传感器能够测量相对于目标构件在X，Y，Z，偏航，俯仰和 滚动（“6D”），并具有高精度。 目标成员包括由对比表面包围的目标点阵列。 位置传感器将OPA元件与目标点成像布置中的角度选择性空间滤波器组合使用，使得位置传感器的成像阵列仅接收根据可操作锥角α进入OPA元件的光线。 因此，每个目标点通常产生具有随着每个目标点的Z位置而变化的成像阵列上的尺寸的环形图像。 成像阵列上的每个目标点图像的X-Y位置随着每个目标点的X-Y位置而变化。 因此，在相同图像中分析的三个或更多个目标点图像可用于确定相对于目标成员的6D测量。 目标构件的X和Y位移可以通过已知方法积累，其他6D测量分量是任何位置的绝对测量。

公开(公告)号：US08548219B2

公开(公告)日：2013-10-01

申请号：US13396333

申请日：2012-02-14

申请人： William Ortyn ,  David Basiji ,  Luchuan Liang ,  Vidya Venkatachalam ,  Philip Morrissey

发明人： William Ortyn ,  David Basiji ,  Luchuan Liang ,  Vidya Venkatachalam ,  Philip Morrissey

IPC分类号： G06K9/00 ,  G01J3/28

CPC分类号： G01N15/147 ,  G01N15/1475 ,  G01N21/6428 ,  G01N21/6458 ,  G01N33/5005 ,  G01N33/505 ,  G01N2021/6441

摘要： Photometric and morphometric features derived from multi-mode imagery of cells in flow are used as a cell analyzer to determine if a marker corresponding to a cancer cell or precancerous cell is present in the population of cells imaged. An imaging system simultaneously acquires a plurality of images for each cell passing through the field of view of the imaging system. Acquiring a plurality of different images (i.e., bright field, dark field, and fluorescent images) facilitates the determination of different morphological and morphometric parameters. Simultaneously acquiring the plurality of images enables relatively large populations of cells to be rapidly imaged, so that relatively small numbers of cancer cells in a large population of cells can be detected. Initially, known cancer cells are imaged to enable a marker to be identified. Then, a sample that may include cancer cells is imaged to determine if the marker is present.

摘要翻译： 作为细胞分析仪，使用从流动细胞的多模式图像得到的光度和形态测定特征，以确定对应于癌细胞或癌前细胞的标志物是否存在于成像细胞群体中。 成像系统同时获取通过成像系统的视野的每个单元的多个图像。 获取多个不同的图像（即，亮场，暗场和荧光图像）有助于确定不同的形态和形态测量参数。 同时获取多个图像使得能够快速成像相对较大数量的细胞，从而可以检测大量细胞中相对少数量的癌细胞。 首先，将已知的癌细胞成像以使得能够鉴定标记。 然后，可以包含癌细胞的样品被成像以确定标记物是否存在。

公开(公告)号：US08131053B2

公开(公告)日：2012-03-06

申请号：US12181062

申请日：2008-07-28

申请人： William Ortyn ,  David Basiji ,  Luchuan Liang ,  Vidya Venkatachalam ,  Philip Morrissey

发明人： William Ortyn ,  David Basiji ,  Luchuan Liang ,  Vidya Venkatachalam ,  Philip Morrissey

IPC分类号： G06K9/00 ,  G01J3/28

CPC分类号： G01N15/147 ,  G01N15/1475 ,  G01N21/6428 ,  G01N21/6458 ,  G01N33/5005 ,  G01N33/505 ,  G01N2021/6441

摘要： Photometric and morphometric features derived from multi-mode imagery of cells in flow are used as a cell analyzer to determine if a marker corresponding to a cancer cell or precancerous cell is present in the population of cells imaged. An imaging system simultaneously acquires a plurality of images for each cell passing through the field of view of the imaging system. Acquiring a plurality of different images (i.e., bright field, dark field, and fluorescent images) facilitates the determination of different morphological and morphometric parameters. Simultaneously acquiring the plurality of images enables relatively large populations of cells to be rapidly imaged, so that relatively small numbers of cancer cells in a large population of cells can be detected. Initially, known cancer cells are imaged to enable a marker to be identified. Then, a sample that may include cancer cells is imaged to determine if the marker is present.

摘要翻译： 作为细胞分析仪，使用从流中的细胞的多模式图像得到的光度和形态测定特征，以确定对应于癌细胞或癌前细胞的标志物是否存在于成像细胞群体中。 成像系统同时获取通过成像系统的视野的每个单元的多个图像。 获取多个不同的图像（即，亮场，暗场和荧光图像）有助于确定不同的形态和形态测量参数。 同时获取多个图像使得能够快速成像相对较大数量的细胞，从而可以检测大量细胞中相对少数量的癌细胞。 首先，将已知的癌细胞成像以使得能够鉴定标记。 然后，可以包含癌细胞的样品被成像以确定标记物是否存在。

公开(公告)号：US20070076944A1

公开(公告)日：2007-04-05

申请号：US11241780

申请日：2005-09-30

申请人： Robert Bryll ,  Vidya Venkatachalam

发明人： Robert Bryll ,  Vidya Venkatachalam

IPC分类号： G06K9/00

CPC分类号： G06T3/40 ,  G06T2200/24

摘要： Improved user interface methods facilitate navigation and programming operations for a magnified machine vision inspection system. Large composite images are determined and stored. The composite images include workpiece features that are distributed beyond the limits of a single magnified field of view of the machine vision system. Despite their size, the composite images may be recalled and displayed in a user-friendly manner that approximates a smooth, real-time, zoom effect. The user interface may include controls that allow a user to easily define a set of workpiece features to be inspected using a composite image, and to easily position the machine vision system to view those workpiece features for the purpose of programming inspection operations for them.

摘要翻译： 改进的用户界面方法便于放大机器视觉检查系统的导航和编程操作。 确定并存储大的合成图像。 复合图像包括分布在机器视觉系统的单个放大视野范围之外的工件特征。 尽管它们的大小，可以以用户友好的方式调用和显示合成图像，其近似平滑，实时的缩放效果。 用户界面可以包括允许用户使用合成图像来容易地定义要检查的一组工件特征的控件，并且为了编程用于它们的检查操作的目的，容易地定位机器视觉系统以查看那些工件特征。

公开(公告)号：US07433052B2

公开(公告)日：2008-10-07

申请号：US11175271

申请日：2005-07-07

申请人： Joseph D Tobiason ,  David W Sesko ,  Benjamin K Jones ,  Michelle M Milvich ,  Vidya Venkatachalam

发明人： Joseph D Tobiason ,  David W Sesko ,  Benjamin K Jones ,  Michelle M Milvich ,  Vidya Venkatachalam

IPC分类号： G01B11/02

CPC分类号： G01B9/02032 ,  G01B9/02019 ,  G01B9/02097 ,  G01B11/26

摘要： A method of determining an amount of tilt may include projecting at least two coherent wavefronts toward a target surface, the wavefronts reflecting from the target surface to create an interference fringe pattern on a detector, and transmitting a beam toward the target surface, the transmitted beam reflecting from the target surface to form a beam spot on the detector. A fringe pitch indicative of a distance to the target surface may be determined based on the interference fringe pattern. A displacement on the detector of the beam spot, relative to a nominal location of the beam spot when the target surface is at a nominal angle of incidence relative to the beam, may be determined. The amount of tilt of the target surface relative to the nominal angle of incidence, may be determined based on the displacement of the beam spot and the determined fringe pitch.

摘要翻译： 确定倾斜量的方法可以包括将至少两个相干波前投射到目标表面，波前从目标表面反射以在检测器上产生干涉条纹图案，并将光束传送到目标表面，透射光束 从目标表面反射以在检测器上形成束斑。 可以基于干涉条纹图案来确定表示到目标表面的距离的条纹间距。 可以确定当目标表面相对于光束的入射角相对于光束点的标称位置时，光斑的检测器上的位移。 目标表面相对于标称入射角的倾斜量可以基于束斑的位移和所确定的边缘间距来确定。