公开(公告)号：US08457414B2

公开(公告)日：2013-06-04

申请号：US12632389

申请日：2009-12-07

Applicant: Sina Jahanbin ,  Alan C. Bovik ,  Eduardo Perez ,  Dinesh Nair

Inventor： Sina Jahanbin ,  Alan C. Bovik ,  Eduardo Perez ,  Dinesh Nair

IPC: G06T9/62

CPC classification number: G06K9/52 ,  G06T7/0004 ,  G06T7/45 ,  G06T2207/20016 ,  G06T2207/20064

Abstract: Method for detecting textural defects in an image. The image, which may have an irregular visual texture, may be received. The image may be decomposed into a plurality of subbands. The image may be portioned into a plurality of partitions. A plurality of grey-level co-occurrence matrices (GLCMs) may be determined for each partition. A plurality of second-order statistical attributes may be extracted for each GLCM. A feature vector may be constructed for each partition, where the feature vector includes the second order statistical attributes for each GLCM for the partition. Each partition may be classified based on the feature vector for the respective partition. Classification of the partitions may utilize a one-class support vector machine, and may determine if a defect is present in the image.

Abstract translation: 用于检测图像中的纹理缺陷的方法。 可以接收可能具有不规则视觉纹理的图像。 图像可以被分解成多个子带。 图像可以分成多个分区。 可以为每个分区确定多个灰度共生矩阵（GLCM）。 可以为每个GLCM提取多个二阶统计属性。 可以为每个分区构造特征向量，其中特征向量包括用于分区的每个GLCM的二阶统计属性。 可以基于相应分区的特征向量对每个分区进行分类。 分区的分类可以利用一类支持向量机，并且可以确定图像中是否存在缺陷。

公开(公告)号：US07960542B2

公开(公告)日：2011-06-14

申请号：US10539202

申请日：2003-12-16

Applicant: Andrew Timothy Boam ,  Andrew Guy Livingston ,  Dinesh Nair ,  Paul McCormac ,  Stephen Hargreaves

Inventor： Andrew Timothy Boam ,  Andrew Guy Livingston ,  Dinesh Nair ,  Paul McCormac ,  Stephen Hargreaves

IPC: C07H21/00

CPC classification number: C07H21/00 ,  B01D61/027

Abstract: A process for the purification of an oligonucleotide synthon is provided. The process comprises subjecting an organic solution comprising an oligonucleotide synthon and lower molecular weight impurities to nanofiltration whereby the ratio of an oligonucleotide synthon to lower molecular weight impurities in the solution is increased after the nanofiltration. Preferably, the oligonucleotide synthon is a nucleoside phosphoramidite or nucleoside H-phosphonate. The nanofiltration membrane is preferably a polyimide membrane having a molecular weight cut off of 400.

Abstract translation: 提供了一种纯化寡核苷酸合成酶的方法。 该方法包括使含有寡核苷酸合成子和较低分子量杂质的有机溶液进行纳滤，由此在纳滤后，溶液中寡核苷酸合成子与较低分子量杂质的比例增加。 优选地，寡核苷酸合成子是核苷亚磷酰胺或核苷H-膦酸盐。 纳滤膜优选为截留分子量为400的聚酰亚胺膜。

公开(公告)号：US20110026804A1

公开(公告)日：2011-02-03

申请号：US12632389

申请日：2009-12-07

Applicant: Sina Jahanbin ,  Alan C. Bovik ,  Eduardo Perez ,  Dinesh Nair

Inventor： Sina Jahanbin ,  Alan C. Bovik ,  Eduardo Perez ,  Dinesh Nair

IPC: G06K9/00

CPC classification number: G06K9/52 ,  G06T7/0004 ,  G06T7/45 ,  G06T2207/20016 ,  G06T2207/20064

Abstract: Method for detecting textural defects in an image. The image, which may have an irregular visual texture, may be received. The image may be decomposed into a plurality of subbands. The image may be portioned into a plurality of partitions. A plurality of grey-level co-occurrence matrices (GLCMs) may be determined for each partition. A plurality of second-order statistical attributes may be extracted for each GLCM. A feature vector may be constructed for each partition, where the feature vector includes the second order statistical attributes for each GLCM for the partition. Each partition may be classified based on the feature vector for the respective partition. Classification of the partitions may utilize a one-class support vector machine, and may determine if a defect is present in the image.

Abstract translation: 用于检测图像中的纹理缺陷的方法。 可以接收可能具有不规则视觉纹理的图像。 图像可以被分解成多个子带。 图像可以分成多个分区。 可以为每个分区确定多个灰度共生矩阵（GLCM）。 可以为每个GLCM提取多个二阶统计属性。 可以为每个分区构造特征向量，其中特征向量包括用于分区的每个GLCM的二阶统计属性。 可以基于相应分区的特征向量对每个分区进行分类。 分区的分类可以利用一类支持向量机，并且可以确定图像中是否存在缺陷。

公开(公告)号：US07397956B2

公开(公告)日：2008-07-08

申请号：US11763902

申请日：2007-06-15

Applicant: Lothar Wenzel ,  Nicolas Vazquez ,  Kevin L. Schultz ,  Dinesh Nair

Inventor： Lothar Wenzel ,  Nicolas Vazquez ,  Kevin L. Schultz ,  Dinesh Nair

IPC: G06K9/62

CPC classification number: G06T7/0004 ,  G06K9/6857

Abstract: A system and method for performing pattern matching to locate zero or more instances of a template image in a target image. An image is received by a computer from an image source, e.g., a camera. First pattern matching is performed on the image using a first pattern matching technique to determine a plurality of candidate areas. Second pattern matching is performed on each of the candidate areas using a second different pattern matching technique to generate final pattern match results. An output is generated indicating the final pattern match results. The second pattern matching may determine a second plurality of candidate areas which may be analyzed to determine the final pattern match results. The first pattern matching may use a plurality of pattern matching techniques, the results of which may be used to select a best technique from the plurality of techniques to use for the second pattern match.

Abstract translation: 一种用于执行模式匹配以在目标图像中定位零个或多个模板图像实例的系统和方法。 计算机从图像源（例如相机）接收图像。 使用第一模式匹配技术对图像执行第一模式匹配以确定多个候选区域。 使用第二不同的模式匹配技术对每个候选区域执行第二模式匹配以生成最终模式匹配结果。 生成指示最终模式匹配结果的输出。 第二模式匹配可以确定可以被分析以确定最终模式匹配结果的第二多个候选区域。 第一模式匹配可以使用多个模式匹配技术，其结果可以用于从用于第二模式匹配的多种技术中选择最佳技术。

公开(公告)号：US07233699B2

公开(公告)日：2007-06-19

申请号：US10100418

申请日：2002-03-18

Applicant: Lothar Wenzel ,  Nicolas Vazquez ,  Kevin L. Schultz ,  Dinesh Nair

Inventor： Lothar Wenzel ,  Nicolas Vazquez ,  Kevin L. Schultz ,  Dinesh Nair

IPC: G06K9/62

CPC classification number: G06T7/0004 ,  G06K9/6857

Abstract: A system and method for performing pattern matching to locate zero or more instances of a template image in a target image. An image is received by a computer from an image source, e.g., a camera. First pattern matching is performed on the image using a first pattern matching technique to determine a plurality of candidate areas. Second pattern matching is performed on each of the candidate areas using a second different pattern matching technique to generate final pattern match results. An output is generated indicating the final pattern match results. The second pattern matching may determine a second plurality of candidate areas which may be analyzed to determine the final pattern match results. The first pattern matching may use a plurality of pattern matching techniques, the results of which may be used to select a best technique from the plurality of techniques to use for the second pattern match.

Abstract translation: 一种用于执行模式匹配以在目标图像中定位零个或多个模板图像实例的系统和方法。 计算机从图像源（例如相机）接收图像。 使用第一模式匹配技术对图像执行第一模式匹配以确定多个候选区域。 使用第二不同的模式匹配技术对每个候选区域执行第二模式匹配以生成最终模式匹配结果。 生成指示最终模式匹配结果的输出。 第二模式匹配可以确定可以被分析以确定最终模式匹配结果的第二多个候选区域。 第一模式匹配可以使用多个模式匹配技术，其结果可以用于从用于第二模式匹配的多种技术中选择最佳技术。

公开(公告)号：US07136505B2

公开(公告)日：2006-11-14

申请号：US10264059

申请日：2002-10-03

Applicant: Lothar Wenzel ,  Ram Rajagopal ,  Satish V. Kumar ,  Darren R. Schmidt ,  Kevin M. Crotty ,  Matthew S. Fisher ,  Dinesh Nair

Inventor： Lothar Wenzel ,  Ram Rajagopal ,  Satish V. Kumar ,  Darren R. Schmidt ,  Kevin M. Crotty ,  Matthew S. Fisher ,  Dinesh Nair

IPC: G06K9/00

CPC classification number: G06K9/6204 ,  G06K9/48

Abstract: System and method for determining a mapping operator for use in a pattern matching application, where the mapping operator enhances differences between respective objects of interest and background objects, e.g., objects not of interest. First and second information is received regarding an object of interest and objects that may appear with the object of interest in an acquired target data set, respectively. The mapping operator is determined using the first information and the second information by determining a template discrete curve characterizing the object of interest, determining one or more target discrete curves characterizing the background objects, and generating a mapping operator that enhances differences between the mapped template discrete curve and the mapped target discrete curves. The operator is stored in a memory and is operable to be used in a pattern matching application to locate instances of the object of interest in acquired target data sets or images.

Abstract translation: 用于确定在模式匹配应用中使用的映射运算符的系统和方法，其中所述映射运算符增强各个感兴趣对象和背景对象（例如，不感兴趣的对象）之间的差异。 接收关于感兴趣的对象的信息和在所获取的目标数据集中可能与感兴趣的对象一起出现的对象的第一和第二信息。 使用第一信息和第二信息确定映射运算符，通过确定表征感兴趣对象的模板离散曲线，确定表征背景对象的一个​​或多个目标离散曲线，以及生成增强映射模板离散化之间的差异的映射运算符 曲线和映射的目标离散曲线。 操作者被存储在存储器中，并可操作以在模式匹配应用中使用以定位所获取的目标数据集或图像中的感兴趣对象的实例。

公开(公告)号：US07133538B2

公开(公告)日：2006-11-07

申请号：US10263601

申请日：2002-10-03

Applicant: Lothar Wenzel ,  Ram Rajagopal ,  Satish V. Kumar ,  Darren R. Schmidt ,  Kevin M. Crotty ,  Matthew S. Fisher ,  Dinesh Nair

Inventor： Lothar Wenzel ,  Ram Rajagopal ,  Satish V. Kumar ,  Darren R. Schmidt ,  Kevin M. Crotty ,  Matthew S. Fisher ,  Dinesh Nair

IPC: G06K9/00

CPC classification number: G06K9/6204 ,  G06K9/48

Abstract: System and method for determining the presence of an object of interest in a target image. Regions of a target image may be located that match an object of interest, e.g., in a template image, with respect to various information, e.g., luminance, color and/or other types of boundary information. The invention includes improved methods for mapping point sets or curves to new point sets or curves for curve matching. The method determines the presence of an object of interest in a target image despite of or using various types of topological transformations of the object of interest in the target image. A plurality of mapping operators are determined based on template curves and/or example target curves, e.g., background object curves. Pattern matching is performed on one or more target images using the mapping operators to generate pattern matching results, and the pattern matching results output.

公开(公告)号：US20060135760A1

公开(公告)日：2006-06-22

申请号：US10539202

申请日：2003-12-16

Applicant: Andrew Boam ,  Andrew Livingston ,  Dinesh Nair ,  Paul McCormac ,  Stephen Hargreaves

Inventor： Andrew Boam ,  Andrew Livingston ,  Dinesh Nair ,  Paul McCormac ,  Stephen Hargreaves

IPC: C07H19/04

CPC classification number: C07H21/00 ,  B01D61/027

Abstract: A process for the purification of an oligonucleotide synthon is provided. The process comprises subjecting an organic solution comprising an oligonucleotide synthon and lower molecular weight impurities to nanofiltration whereby the ratio of an oligonucleotide synthon to lower molecular weight impurities in the solution is increased after the nanofiltration. Preferably, the oligonucleotide synthon is a nucleoside phosphoramidite or nucleoside H-phosphonate. The nanofiltration membrane is preferably a polyimide membrane having a molecular weight cut off of 400.

Abstract translation: 提供了一种纯化寡核苷酸合成酶的方法。 该方法包括使含有寡核苷酸合成子和较低分子量杂质的有机溶液进行纳滤，由此在纳滤后，溶液中寡核苷酸合成子与较低分子量杂质的比例增加。 优选地，寡核苷酸合成子是核苷亚磷酰胺或核苷H-膦酸盐。 纳滤膜优选为截留分子量为400的聚酰亚胺膜。

公开(公告)号：US06950552B2

公开(公告)日：2005-09-27

申请号：US09876985

申请日：2001-06-08

Applicant: Dinesh Nair ,  Ram Rajagopal ,  Lothar Wenzel

Inventor： Dinesh Nair ,  Ram Rajagopal ,  Lothar Wenzel

IPC: G06K9/20 ,  G06K9/50 ,  G06K9/52 ,  G06K9/46

CPC classification number: G06K9/50 ,  G06K9/20 ,  G06K9/52

Abstract: A scanning system and method for locating a point within a region. The method may: 1) determine or locate a region of interest in the region; 2) determine one or more characteristics of the region of interest within the region, wherein the region of interest includes the point of interest; 3) determine a continuous trajectory based on the one or more characteristics of the region of interest; 4) measure the region of interest at a plurality of points along the continuous trajectory to generate a sample data set; 5) perform a surface fit of the sample data set using the approximate model to generate a parameterized surface; and 6) calculate a location of the point of interest based on the parameterized surface. The method may include measuring the region at and/or near the calculated location to confirm the solution, and may also include generating output comprising the results.

Abstract translation: 一种用于定位区域内的点的扫描系统和方法。 该方法可以：1）确定或定位该区域中的感兴趣区域; 2）确定区域内的感兴趣区域的一个或多个特征，其中所述感兴趣区域包括兴趣点; 3）基于感兴趣区域的一个或多个特征来确定连续轨迹; 4）沿着连续轨迹测量多个点处的感兴趣区域以产生样本数据集; 5）使用近似模型执行样本数据集的表面拟合，以生成参数化表面; 和6）基于参数化表面计算兴趣点的位置。 该方法可以包括测量所计算的位置处和/或附近的区域以确定解决方案，并且还可以包括生成包括结果的输出。

公开(公告)号：US06820032B2

公开(公告)日：2004-11-16

申请号：US09877314

申请日：2001-06-08

Applicant: Lothar Wenzel ,  Ram Rajagopal ,  Dinesh Nair ,  Joseph Ting ,  Sundeep Chandhoke

Inventor： Lothar Wenzel ,  Ram Rajagopal ,  Dinesh Nair ,  Joseph Ting ,  Sundeep Chandhoke

IPC: G01B322

CPC classification number: G06T7/0004 ,  G01B11/2518 ,  G05B2219/32212 ,  G05B2219/40554 ,  G06K9/20 ,  G06K9/50 ,  G06K9/52 ,  G06Q10/047 ,  Y02P90/22

Abstract: A system and method for scanning for an object within a region using a conformal scanning scheme. The system may comprise a computer which includes a CPU and a memory medium which is operable to store one or more programs executable by the CPU to perform the method. The method may: 1) determine the characteristic geometry of the region; 2) generate a conformal scanning curve based on the characteristic geometry of the region by performing a conformal mapping between the characteristic geometry and a first scanning curve to generate the conformal scanning curve, i.e., mapping points of the first scanning curve to the characteristic geometry of the region; and 3) scan the region using the conformal scanning curve. These measurements of the region produce data indicative of one or more characteristics of the object. The method may also generate output indicating the one or more characteristics of the object.

Abstract translation: 一种用于使用共形扫描方案扫描区域内的对象的系统和方法。 该系统可以包括计算机，其包括CPU和存储介质，该存储介质可操作以存储由CPU执行的一个或多个程序以执行该方法。 该方法可以：1）确定该区域的特征几何; 2）通过执行特征几何和第一扫描曲线之间的共形映射来生成基于区域的特征几何形状的共形扫描曲线，以产生共形扫描曲线，即，将第一扫描曲线的点映射到特征几何形状 该区域; 和3）使用共形扫描曲线扫描该区域。 该区域的这些测量产生指示对象的一个​​或多个特征的数据。 该方法还可以产生指示对象的一个​​或多个特征的输出。