公开(公告)号：US09406146B2

公开(公告)日：2016-08-02

申请号：US13380610

申请日：2010-06-23

Applicant: Rafael Wiemker ,  Thomas Buelow

Inventor： Rafael Wiemker ,  Thomas Buelow

IPC: G06K9/00 ,  G06T7/40 ,  G06T7/20 ,  G06T7/00

CPC classification number: G06T7/401 ,  G06T7/0016 ,  G06T7/20 ,  G06T7/41 ,  G06T2207/10096 ,  G06T2207/20104 ,  G06T2207/30104

Abstract: A system is disclosed for quantitative analysis of perfusion images comprising image elements having intensity values associated therewith. The system comprises a frequency distribution computing subsystem (1) for computing a plurality of frequency distributions of the intensity values of at least part of the images. The system comprises a perfusion information extractor (2) for extracting information relating to perfusion from the plurality of frequency distributions. The perfusion information extractor (2) comprises a shift detector (3) for detecting a shift of the intensity values of the frequency distribution. The perfusion information extractor (2) is arranged for extracting the information relating to perfusion, based on the detected shift. A user interface element (8) enables a user to indicate a boundary between the core region and the rim region by a single degree of freedom. A vesselness subsystem (9) associates a vesselness value with an image element.

Abstract translation: 公开了一种用于定量分析包括具有与其相关联的强度值的图像元素的灌注图像的系统。 该系统包括用于计算至少部分图像的强度值的多个频率分布的频率分布计算子系统（1）。 该系统包括用于从多个频率分布中提取与灌注相关的信息的灌注信息提取器（2）。 灌注信息提取器（2）包括用于检测频率分布的强度值的偏移的移位检测器（3）。 灌注信息提取器（2）被布置为基于检测到的移位来提取与灌注有关的信息。 用户界面元件（8）使得用户能够通过单个自由度来指示核心区域和边缘区域之间的边界。 容器子系统（9）将容器值与图像元素相关联。

公开(公告)号：US20120188361A1

公开(公告)日：2012-07-26

申请号：US13355358

申请日：2012-01-20

Applicant: Youngil Kwon ,  Byoungkuk Kim ,  Jinseo Park ,  Taewon Kim ,  Youngseok Song ,  Inhwan Sul ,  Kiyeon Jo

Inventor： Youngil Kwon ,  Byoungkuk Kim ,  Jinseo Park ,  Taewon Kim ,  Youngseok Song ,  Inhwan Sul ,  Kiyeon Jo

IPC: H04N7/18 ,  G06K9/46

CPC classification number: G06T7/401 ,  G06T7/41 ,  G06T2207/10056 ,  G06T2207/10061 ,  G06T2207/30121

Abstract: A system for image analysis and a method thereof are disclosed. In one embodiment, the system includes a detector configured to receive an image of a sample, isolate particles from a background image of the sample image and detect positions of the isolated particles and a first operator configured to calculate a static degree of randomness values of the particles using Lennard-Jones potentials based on the detected positions. The system may further include a second operator configured to obtain a dynamic degree of randomness values of particles based at least in part on the sum of tensile forces between particles by implicit integration added until the particles reach a dynamic equilibrium, and calculate a positional degree of randomness of particles based at least in part on subtraction of the dynamic degree of randomness values from the static degree of randomness values.

Abstract translation: 公开了一种图像分析系统及其方法。 在一个实施例中，系统包括检测器，其被配置为接收样本的图像，从样本图像的背景图像中分离粒子并检测孤立粒子的位置，以及第一操作器，被配置为计算静态随机度值 基于检测到的位置使用Lennard-Jones电位的粒子。 该系统可以进一步包括第二操作器，其被配置为至少部分地通过添加的隐式积分至少部分地获得颗粒之间的拉伸力的总和来获得粒子的随机值的动态度，直到粒子达到动态平衡，并且计算粒子的位置度 至少部分地基于从静态随机度值中减去动态随机性值的粒子的随机性。

公开(公告)号：US20120134556A1

公开(公告)日：2012-05-31

申请号：US13303367

申请日：2011-11-23

Applicant: Takashi KONO ,  Yamato KANDA ,  Makoto KITAMURA ,  Masashi HIROTA

Inventor： Takashi KONO ,  Yamato KANDA ,  Makoto KITAMURA ,  Masashi HIROTA

IPC: G06K9/00

CPC classification number: G06T7/401 ,  G06T7/0012 ,  G06T7/41 ,  G06T2207/10024 ,  G06T2207/10068 ,  G06T2207/20021 ,  G06T2207/30028

Abstract: An image processing device includes: an evaluation area setting unit that sets an evaluation area whose category is to be identified in an in-vivo image; a texture component acquiring unit that acquires texture components from the evaluation area in the in-vivo image; an evaluation value calculating unit that calculates an evaluation value indicating homogeneity of the texture components; and an identifying unit that identifies the category of the evaluation area on the basis of the evaluation value.

Abstract translation: 图像处理装置包括：评价区域设定单元，其在体内图像中设定要识别的种类的评价区域; 纹理分量获取单元，其从所述体内图像中的评价区域获取纹理成分; 评估值计算单元，其计算表示所述纹理成分的均匀性的评价值; 以及识别单元，其基于评估值来识别评估区域的类别。

公开(公告)号：US20180053316A1

公开(公告)日：2018-02-22

申请号：US15224692

申请日：2016-08-01

Applicant: The Government of the United States of America, as represented by the Secretary of the Navy

Inventor： Ronald L. Holtz ,  Derek Horton

IPC: G06T7/40 ,  G06T7/00

CPC classification number: G06T7/90 ,  C23F1/00 ,  C23F1/02 ,  G06T7/0008 ,  G06T7/0083 ,  G06T7/11 ,  G06T7/13 ,  G06T7/401 ,  G06T7/408 ,  G06T2207/10024 ,  G06T2207/10056 ,  G06T2207/20112 ,  G06T2207/30136

Abstract: A non-destructive method for assessing the “degree of sensitization” of ship structures formed from aluminum-magnesium marine service alloys. Features of the method include (1) selective etching of beta phase in a sensitized aluminum-magnesium alloy (2) metallographic recording of the etched surface; (3) image enhancement to produce high-contrast binary images of etched and unetched areas; (4) image analysis of the enhanced images using line segments along grain boundaries to provide statistical information about the grain boundary beta phase percentage and (5) calibration, whereby the grain boundary beta phase percentage is converted to an expression of the degree of sensitization in the sample.

公开(公告)号：US6037976A

公开(公告)日：2000-03-14

申请号：US742433

申请日：1996-10-30

Applicant: Lambert Ernest Wixson

Inventor： Lambert Ernest Wixson

IPC: G06T7/20 ,  G06T7/40 ,  H04N5/232 ,  H04N7/18 ,  G09B9/00

CPC classification number: G06K9/00785 ,  G06T7/2053 ,  G06T7/401 ,  H04N5/23248 ,  H04N5/23267 ,  H04N7/188 ,  G06T2207/10016 ,  G06T2207/30232

Abstract: A method and apparatus for determining certain ambient conditions in a scene by analyzing a sequence of images that represent the scene. The apparatus uses only image information to determine scene illumination, or the presence of shadows, fog, smoke, or haze by comparing properties of detected objects, averaged over a finite video sequence, against properties of the reference image of the scene as that scene would appear without any objects present. Such a reference image is constructed in a manner similar to time-averaging successive camera images.

Abstract translation: 一种用于通过分析表示场景的图像序列来确定场景中的某些环境条件的方法和装置。 该装置仅使用图像信息来确定场景照明，或者通过将有限视频序列上平均的检测对象的属性与该场景的参考图像的属性进行比较来确定场景照明，雾，烟雾或雾度的存在 出现没有任何物体存在。 这样的参考图像以与时间平均连续相机图像相似的方式构造。

公开(公告)号：US5995651A

公开(公告)日：1999-11-30

申请号：US678157

申请日：1996-07-11

Applicant: Erol Gelenbe ,  Yutao Feng

Inventor： Erol Gelenbe ,  Yutao Feng

IPC: G06K9/66 ,  G06T7/40 ,  G06K9/62

CPC classification number: G06T7/401 ,  G06K9/6227 ,  G06K9/66 ,  G06T2207/10088 ,  G06T2207/20084

Abstract: Image content classification methods, systems and computer programs repeatedly scan an image having an array of image pixels, with at least one random neural network. Each scan corresponds to one of multiple texture patterns. A corresponding texture pattern is compared to each of multiple image portions for each of the multiple scans. A value is assigned to each image portion, corresponding to the texture pattern having the highest coincidence. An array of pixels corresponding to the assigned values for the image portions may then be displayed. Highly accurate results may be obtained, at high speed, without the need for lengthy expert analysis.

Abstract translation: 图像内容分类方法，系统和计算机程序用至少一个随机神经网络重复扫描具有图像像素阵列的图像。 每个扫描对应于多个纹理图案之一。 将相应的纹理图案与多个扫描中的每一个的多个图像部分中的每一个进行比较。 分配给每个图像部分的值，对应于具有最高一致性的纹理图案。 然后可以显示与图像部分的分配值相对应的像素阵列。 可以高速获得高精度的结果，无需长时间的专家分析。

公开(公告)号：US5822207A

公开(公告)日：1998-10-13

申请号：US706830

申请日：1996-09-03

Applicant: Kensuke Hazama ,  Liang-Yu Huang

Inventor： Kensuke Hazama ,  Liang-Yu Huang

IPC: B25J9/16 ,  G05B19/4097 ,  G05B19/418 ,  G06Q10/06 ,  G06T7/40 ,  G06T17/00 ,  G06T19/00 ,  G06F19/00

CPC classification number: G05B19/4181 ,  B25J9/1666 ,  B25J9/1671 ,  G05B19/4097 ,  G06Q10/06 ,  G06T19/20 ,  G06T7/401 ,  G05B2219/31352 ,  G05B2219/36252 ,  G05B2219/45143 ,  G06T2207/30136 ,  G06T2219/2021 ,  Y02P90/06 ,  Y02P90/20 ,  Y02P90/265 ,  Y10S706/919 ,  Y10S72/702

Abstract: An apparatus and method are provided for integrating an intelligent manufacturing system with an expert sheet metal planning and bending system. The intelligent manufacturing system manages and distributes part design and manufacturing information throughout the locations of a production facility. The expert planning system includes a plurality of expert modules for proposing a bending plan, including bend sequence and tooling selections, and robot motion planning and repositioning. Through the various features and aspects of the present invention, an operator can selectively modify and adapt these integrated systems for particular bend applications, including robot-based and human assisted bending operations.

Abstract translation: 提供了一种用于将智能制造系统与专家钣金计划和弯曲系统集成的装置和方法。 智能制造系统在生产设施的整个地点管理和分配零件设计和制造信息。 专家规划系统包括多个专家模块，用于提出弯曲计划，包括弯曲顺序和模具选择以及机器人运动规划和重新定位。 通过本发明的各种特征和方面，操作者可以选择性地修改和调整这些集成系统用于特定的弯曲应用，包括基于机器人和人体辅助的弯曲操作。

公开(公告)号：US5321771A

公开(公告)日：1994-06-14

申请号：US982156

申请日：1992-11-25

Applicant: Gilles Burel ,  Jean-Yves Catros

Inventor： Gilles Burel ,  Jean-Yves Catros

IPC: G06T7/40 ,  G06K9/46

CPC classification number: G06T7/401 ,  G06T7/0081 ,  G06T2207/20008 ,  G06T2207/20081

Abstract: A device for automatic image segmentation according to the invention comprises a data processor associated with a network of automata organized in three levels; the inputs of each of the automata are weighted by adjustable coefficients; the number of automata of the first level is equal to the number of characteristic values computed from observation windows taken firstly in a set of examples of image zones having different textures. Learning by the network permits adjustment of the weighting coefficients of the automata of the network until all the examples of the same texture lead to the same configuration.

Abstract translation: 根据本发明的用于自动图像分割的设备包括与组织在三个级别的自动机网络相关联的数据处理器; 每个自动机的输入由可调系数加权; 第一级的自动机的数量等于从具有不同纹理的图像区域的一组示例中首先获得的观察窗口计算出的特征值的数量。 通过网络学习允许调整网络自动机的加权系数，直到相同纹理的所有示例导致相同的配置。

公开(公告)号：US4897881A

公开(公告)日：1990-01-30

申请号：US172229

申请日：1988-03-23

Applicant: Chon T. Ledinh ,  Vincent Lacasse ,  Paul Cohen

Inventor： Chon T. Ledinh ,  Vincent Lacasse ,  Paul Cohen

IPC: G06T7/40

CPC classification number: G06T7/401 ,  G06T2207/20081

Abstract: The invention relates to a textural parameter extractor for classification or learning. Four (4) simple 2D optimum masks independent of image, are applied to four adjacent pixels in order to diagonize the associated covariance matrice. The first three (3) central moments, namely absolute deviation, standard deviation and skewness for each transformed image constitute a feature vector of twelve (12) components for classification purposes. Parallel and Sequential structures are also presented for fast textural feature extractor applications.

Abstract translation: 本发明涉及一种用于分类或学习的纹理参数提取器。 四（4）个独立于图像的简单2D最佳掩模被应用于四个相邻像素，以便对相关协方差矩阵进行对角。 前三（3）个中心时刻，即每个变换图像的绝对偏差，标准偏差和偏度构成分类目的的十二（12）个分量的特征向量。 还提供了并行和顺序结构，用于快速纹理特征提取应用。

公开(公告)号：US4878114A

公开(公告)日：1989-10-31

申请号：US192699

申请日：1988-05-10

Applicant: Van-Minh Huynh ,  Francis M. Luk

Inventor： Van-Minh Huynh ,  Francis M. Luk

IPC: G01B11/30 ,  G06T7/40

CPC classification number: G06T7/401 ,  G01B11/303 ,  G06T2207/30108

Abstract: A relatively low cost processor based optical system is used to carry out the method. An area of the surface whose roughness is to be assessed is illuminated by a light source, and a reflected light is directed to the lens of the video camera. The analog output of the video camera is digitized, and the digital signal is provided to a processor which performs an analysis to provide a parameter indicative of the roughness of the surface.

Abstract translation: 使用相对低成本的基于处理器的光学系统来执行该方法。 要评估其粗糙度的表面的区域被光源照射，并且反射光被引导到摄像机的透镜。 摄像机的模拟输出被数字化，数字信号被提供给执行分析以提供表示表面粗糙度的参数的处理器。