公开(公告)号：US20180096451A1

公开(公告)日：2018-04-05

申请号：US15281149

申请日：2016-09-30

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Avishkar MISRA ,  Zazhil Ha HERENA ULLOA ,  Juan Carlos REYES MARTINEZ ,  Siva RAVADA

IPC: G06T3/00 ,  G06T7/00 ,  G06T5/00 ,  G06T5/30 ,  H04N5/232

CPC classification number: G06T3/0068 ,  G06K9/00 ,  G06T5/002 ,  G06T5/30 ,  G06T7/0083 ,  G06T2207/10036 ,  G06T2207/20036 ,  G06T2207/20148 ,  G06T2207/30181 ,  H04N5/23293

Abstract: Systems, methods, and other embodiments are disclosed for correcting errors in the geo-spatial locations of acquired image data. In one embodiment, acquired aerial or satellite image data is segmented to generate extracted boundary data. The extracted boundary data represents boundaries of features of a portion of the Earth's surface, but at incorrect geo-spatial coordinates. The extracted boundary data is matched to expected boundary data derived from ground truth data. The expected boundary data represents boundaries of the features at correct geo-spatial coordinates. Adjustment parameters are generated that represent a geo-spatial misalignment between the extracted boundary data and the expected boundary data. Metadata in a header of the acquired image data is modified to include the adjustment parameters. The adjustment parameters may be applied to the acquired image data to generate corrected image data at correct geo-spatial coordinates.

公开(公告)号：US09754383B1

公开(公告)日：2017-09-05

申请号：US14980715

申请日：2015-12-28

Applicant: Flagship Biosciences, Inc.

Inventor： Erik Hagendorn ,  Steven Potts ,  Nathan T. Martin

IPC: G06K9/00 ,  G06T7/60 ,  G06T7/00 ,  A61B5/00

CPC classification number: G06T7/602 ,  G06T7/0012 ,  G06T7/0083 ,  G06T7/0085 ,  G06T7/62 ,  G06T2207/10056 ,  G06T2207/20144 ,  G06T2207/30024 ,  G06T2207/30028 ,  G06T2207/30092

Abstract: The invention concerns automated methods for assessing tissue morphometry in digital images of tissue sections derived from small intestine biopsy samples from patients submitted for evaluation of celiac disease. The methods generally involve digital image analysis of tissue section images, and specifically involve post-processing each image to produce a binary mask capturing the tissue area footprint on the glass slide. Virtual stereology probes are placed on each image and assessed to estimate the ratio of the surface area to volume of the tissue specimen. The surface area to volume ratio is used to diagnose celiac disease and make inferences about the severity of celiac disease in those individuals with a positive diagnosis of celiac disease.

公开(公告)号：US09292930B2

公开(公告)日：2016-03-22

申请号：US14064559

申请日：2013-10-28

Applicant: CANON KABUSHIKI KAISHA

Inventor： Geoffrey Richard Taylor ,  Fei Mai

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/20

CPC classification number: G06T7/0083 ,  G06T7/11 ,  G06T7/12 ,  G06T7/143 ,  G06T7/174 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/20052 ,  G06T2207/20076

Abstract: A method of determining a boundary of an obstacle which occludes an object in an image, is disclosed. At least one object in the image and a further image captured by a camera is determined. A plurality of regions in which the at least one object is detected, is determined from the images. Locations of edges of the plurality of regions are determined A common location is determined from the determined edges. The boundary of the obstacle is determined, where the boundary comprises a part of the edges at the common location.

Abstract translation: 公开了一种确定遮挡图像中的物体的障碍物的边界的方法。 确定图像中的至少一个对象和由相机拍摄的另外的图像。 从所述图像确定其中检测到所述至少一个对象的多个区域。 确定多个区域的边缘的位置根据确定的边缘确定公共位置。 确定障碍物的边界，其中边界包括公共位置处的边缘的一部分。

公开(公告)号：US20150302602A1

公开(公告)日：2015-10-22

申请号：US14646044

申请日：2013-12-02

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Rafael WIEMKER ,  Tobias KLINDER

IPC: G06T7/00

CPC classification number: G06T7/0083 ,  G06T7/12 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/20012 ,  G06T2207/20016 ,  G06T2207/20221 ,  G06T2207/30061

Abstract: The present invention relates to an image processing device for detecting line structures in an image data set. The device comprises a model definition unit (12) for defining a line model of a line structure to be detected, said line model comprising a number of voxels, a calculation unit (14) for calculating, per voxel of interest of said image data set, several correlation values of a correlation between said line model and an image area around said voxel of interest, said image area comprising a corresponding number of voxels as said line model, wherein for each of a number of different relative orientations of said line model with respect to said image area a respective correlation value is calculated, and a determining unit (16) for determining, per voxel of interest, the maximum correlation value from said calculated correlation values and the corresponding optimal orientation at which said maximum correlation value is obtained.

Abstract translation: 本发明涉及一种用于检测图像数据组中的线结构的图像处理装置。 该装置包括用于定义要检测的线结构的线模型的模型定义单元（12），所述线模型包括多个体素;计算单元（14），用于根据所述图像数据集的感兴趣的体素计算 所述线模型与感兴趣的所述体素周围的图像区域之间的相关性的几个相关值，所述图像区域包括相应数量的体素作为所述线模型，其中对于所述线模型的多个不同相对取向中的每一个， 对于所述图像区域计算各自的相关值，以及确定单元（16），用于根据所计算的相关值和获得所述最大相关值的对应最佳取向来确定每个感兴趣的体素的最大相关值。

公开(公告)号：US09082191B2

公开(公告)日：2015-07-14

申请号：US12924325

申请日：2010-09-24

Applicant: Mike Roberts ,  Mario Costa Sousa ,  Joseph Ross Mitchell

Inventor： Mike Roberts ,  Mario Costa Sousa ,  Joseph Ross Mitchell

IPC: G06T7/00 ,  G06T15/00 ,  G06T17/00 ,  G06K9/00 ,  G06K9/34 ,  G06T15/08

CPC classification number: G06T7/0083 ,  G06T7/12 ,  G06T7/149 ,  G06T15/08 ,  G06T2207/10072 ,  G06T2207/20161 ,  G06T2207/30016

Abstract: A method for segmenting a volume dataset is provided. During initialization a level set field within a volume dataset is initialized and an initial set of active voxels is determined in dependence upon the initialized level set field. In an iteration process the level set field for the set of active voxels is updated followed by updating of the set of active voxels. The iteration is continued until the number of active voxels is less than a predetermined threshold. Level set segmentation data are then determined in dependence upon the level set field and provided for, for example, graphical display or storage.

Abstract translation: 提供了一种分割卷数据集的方法。 在初始化期间，初始化卷数据集中的级别设置字段，并且根据初始化级别设置字段确定初始的活动体素集。 在迭代过程中，更新活动体元集的级别集合字段，随后更新活动体素集。 迭代继续直到活动体素的数量小于预定阈值。 然后根据等级设置字段确定级别设置分段数据，并提供用于例如图形显示或存储。

公开(公告)号：US09076222B2

公开(公告)日：2015-07-07

申请号：US13511670

申请日：2010-11-18

Applicant: Matthieu Bal

Inventor： Matthieu Bal

IPC: A61B6/00 ,  A61N5/10 ,  G06T7/00 ,  A61B5/00

CPC classification number: G06T7/0083 ,  A61B5/0033 ,  A61B5/004 ,  A61B6/52 ,  A61B6/5211 ,  A61B6/5229 ,  A61N5/103 ,  A61N5/1039 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30096

Abstract: A radiation therapy system includes a diagnostic image scanner (12) which acquires a multidimensional dataset of a subject that is reconstructed into at least one image representation of an object of interest. An image processing apparatus (72), of radiation therapy system, includes a segmentation unit (74) which identifies a surface contour of the object of interest, or other critical structures. A masking unit (82) determines a non-constant margin, based on the identified surface contour and appends the determined non-constant margin to the identified surface contour. The non-constant margin is based on at least one of anisotropic motion, surface morphology, positional uncertainty, proximity to other organs, and probability of dose distribution. A planning processor (70) generates a radiation therapy plan which limits the delivery of therapeutic radiation to anatomy associated with the surface contour and appended non-constant margin. A radiation delivery system (40) delivers therapeutic radiation according to the generated plan.

Abstract translation: 一种放射治疗系统包括诊断图像扫描器（12），该诊断图像扫描仪（12）获取将被重建为感兴趣对象的至少一个图像表示的被摄体的多维数据集。 放射治疗系统的图像处理装置（72）包括识别感兴趣对象的表面轮廓或其他关键结构的分割单元（74）。 掩蔽单元（82）基于所识别的表面轮廓确定非恒定余量，并将所确定的不恒定余量附加到所识别的表面轮廓。 非恒定余量基于各向异性运动，表面形态，位置不确定性，与其他器官的接近度以及剂量分布概率中的至少一个。 规划处理器（70）产生辐射治疗计划，其限制将治疗辐射递送到与表面轮廓相关联的解剖结构和附加的非恒定边缘。 辐射递送系统（40）根据生成的计划递送治疗辐射。

公开(公告)号：US08831325B2

公开(公告)日：2014-09-09

申请号：US13519773

申请日：2009-12-29

Applicant: Yoshinori Ohno

Inventor： Yoshinori Ohno

IPC: G06K9/00 ,  G06K9/34 ,  G06K9/40 ,  A61B6/00 ,  G06T7/00

CPC classification number: G06T7/0083 ,  A61B6/4233 ,  A61B6/5258 ,  G06T7/12 ,  G06T7/168 ,  G06T2207/10116 ,  G06T2207/20056 ,  G06T2207/20061 ,  G06T2207/20064 ,  G06T2207/30004

Abstract: A radiographic image processing apparatus in this invention decreases a spatial resolution twice in total by a low-frequency image generating device and a low-frequency characteristic generating device. Thereby an influence such as noise and thus calculation amounts are decreased. Moreover, excessive characteristic amounts (patterns) not removed among characteristic amounts extracted through the low-frequency image generating device and a characteristic extracting device can be decreased by decrease of the spatial resolution by the low-frequency characteristic generating device. Consequently, influence such as noise and calculation amounts can be decreased for the low-frequency characteristics generated by the low-frequency characteristic generating device and a radiation area extracted by an area extracting device on the latter stage. As a result, influences such as noise can be decreased for achieving characteristic extraction and area extraction with high accuracy, and thus calculation amounts can be decreased.

Abstract translation: 本发明的放射线照相图像处理装置通过低频图像生成装置和低频特征生成装置将空间分辨率总共降低了两倍。 因此，减少了诸如噪声和因此计算量的影响。 此外，通过低频特征产生装置的空间分辨率的降低，可以减少通过低频图像产生装置和特征提取装置提取的特征量中未被去除的过多的特征量（图案）。 因此，对于由低频特征产生装置产生的低频特性和由后级的区域提取装置提取的辐射面积，可以降低诸如噪声和计算量的影响。 结果，为了实现高精度的特征提取和区域提取，可以降低噪声等影响，能够减少计算量。

公开(公告)号：US20130251262A1

公开(公告)日：2013-09-26

申请号：US13992383

申请日：2011-08-02

Applicant: Teng Long ,  Bin Zhang ,  Xiping Luo

Inventor： Teng Long ,  Bin Zhang ,  Xiping Luo

IPC: G06T7/00

CPC classification number: G06T7/0083 ,  G06K9/32 ,  G06K9/325

Abstract: A text image trimming method, according to the following steps: step 1, obtaining text image data; step 2, using straight line detection method to detect the straight lines of the text image, obtaining edges of a trimmed quadrangle; step 3, detecting text on the image data, obtaining the coordinates of the boundary points of a text region; and step 4, obtaining the final trimming result according to the results of steps 2 and 3. The method can automatically detect the edges of the text region and utilize the detected text region to verify and remove unrelated redundant information thereby, allowing the user to only see the portion containing the text region useful to the user when viewing image data.

Abstract translation: 文本图像修剪方法，按照以下步骤：步骤1，获取文本图像数据; 步骤2，使用直线检测方法检测文本图像的直线，获得修剪四边形的边缘; 步骤3，检测图像数据上的文本，获得文本区域的边界点的坐标; 以及步骤4，根据步骤2和3的结果获得最终修剪结果。该方法可以自动检测文本区域的边缘并利用检测到的文本区域来验证和去除不相关的冗余信息，从而允许用户仅 在查看图像数据时，请参阅包含对用户有用的文本区域的部分。

公开(公告)号：US20130195359A1

公开(公告)日：2013-08-01

申请号：US13823914

申请日：2012-08-06

Applicant: Hiroshi Yabu

Inventor： Hiroshi Yabu

IPC: G06T7/00

CPC classification number: G06T7/0083 ,  G06K9/3241 ,  G06K9/34 ,  G06K9/6223 ,  G06T7/11 ,  G06T7/194 ,  G06T7/77 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/30201 ,  H04N1/3876

Abstract: Segments included in an image I are each classified as one of object (i.e., person) segments OS1 and OS2 and foreground segments FS1 and FS2. With respect to each of the foreground segments FS1 and FS2, an importance degree is calculated based on a composition of the image I and relations between the foreground segment of the image I and a foreground segment of an image other than the image I.

Abstract translation: 包括在图像I中的段被分类为对象（即，人）段OS1和OS2以及前景段FS1和FS2之一。 对于每个前景段FS1和FS2，基于图像I的组成以及图像I的前景段与图像I之外的图像的前景段的关系来计算重要度。

公开(公告)号：US20130039585A1

公开(公告)日：2013-02-14

申请号：US13548588

申请日：2012-07-13

Applicant: Masaki KURIHARA

Inventor： Masaki KURIHARA

IPC: G06K9/48

CPC classification number: G06T7/0083 ,  G01B11/005 ,  G06T7/12 ,  G06T7/62 ,  G06T2207/20016 ,  G06T2207/20061 ,  G06T2207/20092 ,  G06T2207/30108

Abstract: An image measurement apparatus includes: an imager section, an obtainment section, an outline detection section, a setting section, and a measurement section. The imager section takes an image of a subject to be measured. The obtainment section obtains a taken image of the subject taken by the imager section. The outline detection section detects, by a Hough transformation, outline of a graphic included in the image obtained by the obtainment section. The setting section sets an edge detection tool on the outline detected by the outline detection section. The measurement section measures, by the edge detection tool set by the setting section, graphic information concerning the graphic.

Abstract translation: 图像测量装置包括：成像器部分，获取部分，轮廓检测部分，设置部分和测量部分。 成像器部分拍摄待测对象的图像。 获取部分获取由成像器部分拍摄的拍摄对象的拍摄图像。 轮廓检测部分通过霍夫变换来检测由获取部分获得的图像中包括的图形的轮廓。 该设定部对由轮廓检测部检测出的轮廓设定边缘检测工具。 测量部分通过设置部分设置的边缘检测工具测量与图形有关的图形信息。