公开(公告)号：US20090003699A1

公开(公告)日：2009-01-01

申请号：US12129410

申请日：2008-05-29

申请人： Peter Dugan ,  Michael Riess

发明人： Peter Dugan ,  Michael Riess

IPC分类号： G06K9/34

CPC分类号： G01N23/06 ,  G06K9/6263

摘要： A system for segmenting radiographic images of a cargo container can include an object segmentation recognition module adapted to perform a series of functions. The functions can include receiving a plurality of radiographic images of a cargo container, each image generated using a different energy level and segmenting each of the radiographic images using one or more segmentation modules to generate segmentation data representing one or more image segments. The functions can also include identifying image layers within the radiographic images using a plurality of layer analysis modules by providing the plurality of radiographic images and the segmentation data as input to the layer analysis modules, and determining adjusted atomic number values for an atomic number image based on the image layers. The functions can include adjusting the atomic number image based on the adjusted atomic number values for the regions of interest to generate an adjusted atomic number image and identifying regions of interest within the adjusted atomic number image based on an image characteristic. The functions can also include providing coordinates of each region of interest and the adjusted atomic number image as output.

摘要翻译： 用于分割货物集装箱的放射照相图像的系统可以包括适于执行一系列功能的物体分割识别模块。 这些功能可以包括接收货物集装箱的多个放射照相图像，使用不同的能量级别生成每个图像，并使用一个或多个分割模块分割每个放射线照相图像，以产生表示一个或多个图像片段的分割数据。 这些功能还可以包括通过提供多个放射照相图像和分割数据作为层分析模块的输入，并使用多个层分析模块来确定放射线照相图像内的图像层，并且确定基于原子序数图像的调整原子数值 在图像层上。 这些功能可以包括基于所感兴趣区域的经调整的原子序数值来调整原子序数图像，以产生经调整的原子序数图像，并且基于图像特征来识别调整后的原子序数图像内的感兴趣区域。 这些功能还可以包括提供每个感兴趣区域的坐标和调整后的原子序数图像作为输出。

公开(公告)号：US20050058350A1

公开(公告)日：2005-03-17

申请号：US10941660

申请日：2004-09-15

申请人： Peter Dugan ,  Zhiwei (Henry) Fang ,  Patrick Ouellette ,  Michael Riess

发明人： Peter Dugan ,  Zhiwei (Henry) Fang ,  Patrick Ouellette ,  Michael Riess

IPC分类号： G06K9/32 ,  G06K9/46 ,  G06K9/62 ,  G07B17/00

CPC分类号： G06K9/3233 ,  G06K9/3208 ,  G07B2017/00685

摘要： Methods for object recognition and systems that implement the methods. In one embodiment, the method of this invention for processing and identifying images includes two steps. In the first step, object profile characteristics are obtained. In the second step, object profile characteristics are utilized to determine object type and orientation. A system that implements the method of this invention is also disclosed.

摘要翻译： 实现对象识别的方法和实现方法的系统。 在一个实施例中，用于处理和识别图像的本发明的方法包括两个步骤。 在第一步中，获得对象轮廓特征。 在第二步中，使用对象轮廓特征来确定对象的类型和方向。 还公开了实现本发明方法的系统。

公开(公告)号：US20080077452A1

公开(公告)日：2008-03-27

申请号：US11467517

申请日：2006-08-25

申请人： Peter Dugan ,  Peter Gallic

发明人： Peter Dugan ,  Peter Gallic

IPC分类号： G06Q10/00

CPC分类号： G06Q10/02

摘要： Managing and distributing the right to obtain seats from a travel service vendor comprises contracting with the travel service vendor for a total number of seats at a bulk discount rate. A package is defined which includes the right to obtain a prescribed number of seats from the total number of seats in each of several intervals of time. A net present value of the package is computed. An offering amount for the package is defined at the net present value plus a transaction margin. A customer is subscribed to the offering. Any collected offering amounts are invested to generate a ticket payment for a seat claimed by the customer. The travel service vendor is then paid for a seat claimed by the customer using the ticket payment. Customers may also be periodically charged an activity margin. A spread may also be collected from the investment account.

摘要翻译： 管理和分配从旅游服务提供商处获得座位的权利包括与旅游服务供应商签订一个批量折扣率的座位总数。 定义一个包裹，其中包括在几个时间间隔内每个席位总数中获得规定数量的座位的权利。 计算包的净现值。 包裹的发行金额以净现值加交易保证金定义。 客户订阅了该产品。 任何收集的发行金额都被投资以产生客户要求的座位的票据支付。 旅行服务供应商然后由客户使用机票付款支付座位。 客户也可能会定期收取活动费用。 也可以从投资账户收取差价。

公开(公告)号：US20060204107A1

公开(公告)日：2006-09-14

申请号：US11072591

申请日：2005-03-04

申请人： Peter Dugan ,  Patrick Ouellette

发明人： Peter Dugan ,  Patrick Ouellette

IPC分类号： G06K9/62 ,  G06K9/64

CPC分类号： G06K9/00664 ,  G06K9/6229 ,  G06K9/6292 ,  G08G1/04

摘要： The present invention is directed to an object recognition system. The system includes a database having stored therein a trained reference vector. The trained reference vector includes a finite string of weighted reference feature elements optimized using a genetic algorithm which uses a dynamic length chromosome. The trained reference vector is optimized relative to a fitness function. The fitness function is an information based function. The trained reference vector corresponds to a known object or class of objects. A sensor is disposed in a surveilled region and configured to generate sensor data. The sensor data corresponds to objects disposed in the surveilled region. A recognition module is coupled to the sensor and the at least one database. The recognition module is configured to generate data object vectors from the sensor data. Each data object vector corresponds to one object. The recognition module is configured to combine the reference vector with each data object vector to obtain at least one fusion value for that vector. The fusion value is compared with a predetermined threshold value to thereby measure the likeness of the at least one object relative to the known object or class of objects.

摘要翻译： 本发明涉及一种物体识别系统。 该系统包括其中存储有经过训练的参考矢量的数据库。 经训练的参考向量包括使用使用动态长度染色体的遗传算法优化的加权参考特征元素的有限串。 经训练的参考矢量相对于适应度函数进行了优化。 适应度函数是基于信息的函数。 经过训练的参考向量对应于已知对象或类别的对象。 传感器设置在监视区域中，并被配置为产生传感器数据。 传感器数据对应于设置在监视区域中的对象。 识别模块耦合到传感器和至少一个数据库。 识别模块被配置为从传感器数据生成数据对象向量。 每个数据对象向量对应于一个对象。 识别模块被配置为将参考矢量与每个数据对象矢量组合以获得该矢量的至少一个融合值。 将融合值与预定阈值进行比较，从而测量至少一个对象相对于已知对象或类别对象的相似度。

公开(公告)号：US20090055344A1

公开(公告)日：2009-02-26

申请号：US12129393

申请日：2008-05-29

申请人： Peter Dugan ,  Rosemary D. Paradis

发明人： Peter Dugan ,  Rosemary D. Paradis

IPC分类号： G06N7/02

CPC分类号： G01N23/06 ,  G06K9/6263

摘要： A method of arbitrating outputs from a set of threat analysis algorithms or systems. The method can include receiving threat outputs from different threat analysis algorithms. Each threat output can be assigned to a class membership. Rules can be applied based on the threat outputs and the respective class membership. Each rule can provide an amount of support mass to a hypothesis and an amount of uncertainty mass. The rules can have an associated priority value for weighting the masses. A combined belief value for each hypothesis and a total uncertainty value can be determined based on the provided masses. The method can further include generating a decision matrix of the hypotheses and combined belief values. A hypothesis can be selected from the decision matrix based on the combined belief value.

摘要翻译： 从一组威胁分析算法或系统仲裁输出的方法。 该方法可以包括接收来自不同威胁分析算法的威胁输出。 每个威胁输出都可以分配给一个类成员资格。 规则可以基于威胁输出和相应的类成员进行应用。 每个规则可以为假设提供一定数量的支持质量和一定量的不确定性质量。 规则可以具有用于对质量加权的相关联的优先级值。 可以基于提供的质量来确定每个假设和总不确定性值的组合置信度值。 该方法还可以包括生成假设和组合置信值的决策矩阵。 可以根据组合的置信值从决策矩阵中选择一个假设。

公开(公告)号：US07340443B2

公开(公告)日：2008-03-04

申请号：US10846407

申请日：2004-05-14

申请人： Peter Dugan ,  Lori K. Lewis ,  Rosemary D. Paradis ,  Dennis A. Tillotson

发明人： Peter Dugan ,  Lori K. Lewis ,  Rosemary D. Paradis ,  Dennis A. Tillotson

IPC分类号： G06N7/02 ,  G06N5/04 ,  G06F15/18

CPC分类号： G06K9/6292 ,  G06N7/02

摘要： A method and computer product is disclosed for arbitrating the outputs of a plurality of recognizers to select a hypothesis associated with a given input from a plurality of hypotheses. Fuzzy membership states are assigned to respective candidate outputs of the plurality of recognizers. At least one rule is selected according to the assigned fuzzy membership states. A selected rule provides a determined amount of support mass for an associated one of the plurality of hypotheses and a determined amount of uncertainty mass. A support value for each hypothesis and an overall uncertainty are determined from the provided mass values. A hypothesis having a highest support value while having an acceptable low level of uncertainty is selected.

摘要翻译： 公开了一种用于仲裁多个识别器的输出以从多个假设中选择与给定输入相关联的假设的方法和计算机产品。 模糊隶属度状态被分配给多个识别器的相应候选输出。 根据分配的模糊隶属状态选择至少一个规则。 所选择的规则为所述多个假设中的相关联的假设提供确定量的支持质量和确定的不确定量的量。 从提供的质量值确定每个假设的支持值和总体不确定性。 选择具有最高支持值而具有可接受的低不确定度水平的假设。

公开(公告)号：US20080298544A1

公开(公告)日：2008-12-04

申请号：US12129439

申请日：2008-05-29

申请人： Peter Dugan

发明人： Peter Dugan

IPC分类号： G01N23/206

CPC分类号： G01N23/06 ,  G06K9/6263

摘要： A system and method are presented for determining an optimized set of estimation coefficients for use in the gray scale conversion of measured intensity ratios derived from radiographic images of an object. Radiographic images for known materials may be obtained using different source energy levels. Measured training ratios for each known material may be determined intensity values derived from pairs of radiographic images. Standard attenuation data for each known material may also provided. A genetic algorithm may be used to obtain an optimized set of estimation coefficients for the known materials using initial candidate sets of estimation coefficients, the measured training ratios, and the standard attenuation data. The optimized set of estimation coefficients may be used in the gray scale conversion of measured ratios derived from radiographic images of unknown materials for the determination of the atomic number of the unknown materials.

摘要翻译： 提出了一种系统和方法，用于确定用于从对象的放射照相图像导出的测量的强度比的灰度转换中使用的优化的估计系数集合。 可以使用不同的源能级获得已知材料的射线照相图像。 每个已知材料的测量训练比可以是由放射照相图像对得出的强度值。 也可以提供每个已知材料的标准衰减数据。 遗传算法可以用于使用估计系数的初始候选组，测量的训练比和标准衰减数据来获得已知材料的优化的估计系数集合。 估计系数的优化集合可用于从未知材料的放射照相图像得到的测量比例的灰度转换中，用于确定未知材料的原子数。

公开(公告)号：US20090052762A1

公开(公告)日：2009-02-26

申请号：US12129371

申请日：2008-05-29

申请人： Peter Dugan ,  Robert L. Finch ,  John M. Munley ,  David M. Asner ,  Christopher W. Peters ,  Kenei Suntarat ,  David M. Brown ,  Shawn Locke

发明人： Peter Dugan ,  Robert L. Finch ,  John M. Munley ,  David M. Asner ,  Christopher W. Peters ,  Kenei Suntarat ,  David M. Brown ,  Shawn Locke

IPC分类号： G06K9/00

CPC分类号： G01N23/06 ,  G06K9/6263

摘要： A method of determining an effective atomic number, Zeff, of an object may include obtaining a plurality of radiographic images of the object. Each radiographic image can be obtained using a different independent X-ray energy level. An intensity value for each pixel in a region of interest in each radiographic image can be determined. A plurality of measured ratios, R, can be formed using attenuation coefficients from a pair of different radiographic images. At least one adjusted measured ratio, Rm, can be calculated based on the plurality of measured ratios, R, and at least one corresponding estimation coefficient, α. Zeff values can be assigned based on a comparison of the at least one adjusted measured ratio, Rm to a material attenuation database.

摘要翻译： 确定对象的有效原子序数Zeff的方法可以包括获得对象的多个放射照相图像。 可以使用不同的独立X射线能量水平获得每个放射照相图像。 可以确定每个放射线照相图像中的感兴趣区域中的每个像素的强度值。 可以使用来自一对不同放射照相图像的衰减系数来形成多个测量的比率R。 可以基于多个测量的比率R和至少一个对应的估计系数αα来计算至少一个调整的测量比率R m。 可以基于至少一个经调整的测量比率Rm与材料衰减数据库的比较来分配Zeff值。

公开(公告)号：US20090052732A1

公开(公告)日：2009-02-26

申请号：US12129383

申请日：2008-05-29

申请人： Peter Dugan ,  Robert L. Finch ,  Rosemary D. Paradis

发明人： Peter Dugan ,  Robert L. Finch ,  Rosemary D. Paradis

IPC分类号： G06K9/62

CPC分类号： G01N23/06 ,  G06K9/6263

摘要： A process for contextual analysis of radiographic image data can be embodied as a method, system, and computer software program, among other things. The process can include receiving a radiographic image and performing a region analysis including identifying a region within the radiographic images having an estimated atomic number within a predetermined range and determining if the region is in an expected location. The process can also include performing a material feature analysis to identify whether a feature present in the radiographic image is associated with an obscuration characteristic. The process can include providing context information and generating, as output, a region of interest in the radiographic image, the region of interest being determined based upon a set of rules and the region analysis, the material feature analysis, and the context information.

摘要翻译： 用于放射照相图像数据的上下文分析的过程可以体现为方法，系统和计算机软件程序等等。 该过程可以包括接收射线照相图像并执行区域分析，包括识别具有在预定范围内的估计原子序数的放射线照相图像内的区域，并确定该区域是否处于预期位置。 该过程还可以包括执行材料特征分析以识别放射线照相图像中存在的特征是否与遮蔽特征相关联。 该过程可以包括提供上下文信息并且在射线照相图像中生成感兴趣区域作为输出，基于一组规则和区域分析，材料特征分析和上下文信息确定感兴趣区域。

公开(公告)号：US20050256820A1

公开(公告)日：2005-11-17

申请号：US10846407

申请日：2004-05-14

申请人： Peter Dugan ,  Lori Lewis ,  Rosemary Paradis ,  Dennis Tillotson

发明人： Peter Dugan ,  Lori Lewis ,  Rosemary Paradis ,  Dennis Tillotson

IPC分类号： G06F9/44 ,  G06F17/00 ,  G06K9/62 ,  G06N5/02 ,  G06N7/02 ,  G06N7/06

CPC分类号： G06K9/6292 ,  G06N7/02

摘要： A method and computer product is disclosed for arbitrating the outputs of a plurality of recognizers to select a hypothesis associated with a given input from a plurality of hypotheses. Fuzzy membership states are assigned to respective candidate outputs of the plurality of recognizers. At least one rule is selected according to the assigned fuzzy membership states. A selected rule provides a determined amount of support mass for an associated one of the plurality of hypotheses and a determined amount of uncertainty mass. A support value for each hypothesis and an overall uncertainty are determined from the provided mass values. A hypothesis having a highest support value while having an acceptable low level of uncertainty is selected.

摘要翻译： 公开了一种用于仲裁多个识别器的输出以从多个假设中选择与给定输入相关联的假设的方法和计算机产品。 模糊隶属度状态被分配给多个识别器的相应候选输出。 根据分配的模糊隶属状态选择至少一个规则。 所选择的规则为所述多个假设中的相关联的假设提供确定量的支持质量和确定的不确定量的量。 从提供的质量值确定每个假设的支持值和总体不确定性。 选择具有最高支持值而具有可接受的低不确定度水平的假设。