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31.发明申请公开(公告)号：US20180357770A1
公开(公告)日：2018-12-13
申请号：US16006018
申请日：2018-06-12
申请人： Verathon Inc.
发明人： Joon Hwan Choi , Fuxing Yang
CPC分类号： G06T7/149 , G06K9/42 , G06K9/48 , G06K2009/485 , G06K2209/051 , G06T7/0012 , G06T7/12 , G06T7/13 , G06T2207/10132 , G06T2207/20116 , G06T2207/30004
摘要： A method for determining a contour of an organ in an ultrasound image is performed by a processor in a base unit. The method includes detecting an organ within the ultrasound image; obtaining a centroid position for the organ; extending a set of radial lines from the centroid position beyond an expected organ boundary; determining cost values at candidate nodes on each radial line, of the set of radial lines, by applying costs along gradient vectors that are normal to a contour between adjacent nodes on different radial lines; and selecting a final organ boundary contour based on a cost function analysis of paths through the candidate nodes.
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公开(公告)号：US09977985B2
公开(公告)日：2018-05-22
申请号：US15160835
申请日：2016-05-20
申请人： FotoNation Limited
CPC分类号： G06K9/4647 , G06K9/00986 , G06K9/4642 , G06K9/481 , G06K9/6267 , G06K2009/485 , G06T1/20
摘要： A method for producing a histogram of oriented gradients (HOG) for at least a portion of an image comprises dividing said image portion into cells, each cell comprising a plurality of image pixels. For each image pixel of a cell, a horizontal gradient component, gx, and a vertical gradient component, gy, is obtained based on differences in pixel values along at least a row of said image and a column of said image respectively including the pixel. A gradient is allocated to one of a plurality of sectors, each sector extending through a range of orientation angles. At least some of said sectors are divided from adjacent sectors along lines including gx=2n·gy, where n is any integer value with a magnitude greater than or equal to 1. At least one sector is associated with a bin; and a count of each instance of a pixel gradient of a cell associated with a bin is performed to provide a HOG for said cell.
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公开(公告)号：US20170372166A1
公开(公告)日：2017-12-28
申请号：US15195726
申请日：2016-06-28
CPC分类号： G06K9/4604 , G06K9/00442 , G06K9/4642 , G06K9/4647 , G06K9/4652 , G06K9/481 , G06K2009/485 , G06T3/4015 , G06T2207/30176
摘要： The current document is directed to automated methods and systems, controlled by various constraints and parameters, that identify contours in digital images, including curved contours. Certain of these parameters constrain contour identification to those contours in which the local curvature of a contour does not exceed a threshold local curvature and to those contours orthogonal to intensity gradients of at least threshold magnitudes. The currently described methods and systems identify seed points within a digital image, extend line segments from the seed points as an initial contour coincident with the seed point, and then iteratively extend the initial contour by adding line segments to one or both ends of the contour. The identified contours are selectively combined and filtered in order to identify a set of relevant contours for use in subsequent image-processing tasks.
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34.发明授权公开(公告)号：US09760794B2
公开(公告)日：2017-09-12
申请号：US14866606
申请日：2015-09-25
申请人： INTEL CORPORATION
发明人： Teahyung Lee , Myung Hwangbo , Tanfer Alan , Omesh Tickoo , Ravishankar Iyer
CPC分类号： G06K9/4647 , G06K9/00986 , G06K9/42 , G06K9/4609 , G06K9/4642 , G06K9/4652 , G06K9/4661 , G06K9/481 , G06K9/6212 , G06K2009/485
摘要： Techniques for a system, article, and method of low-complexity histogram of gradients generation for image processing may include histogram of gradients generation for image processing including the following operations: obtaining image data including horizontal and vertical gradient components of individual pixels of an image; associating the horizontal and vertical gradient components of the same pixel with one of a plurality of angular channels depending on the values of the horizontal and vertical gradient components; determining a gradient magnitude and a gradient orientation of individual angular channels after the horizontal and vertical gradient components are assigned to the channels; and generating a histogram of gradients by using the gradient direction and gradient magnitude of the angular channels.
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公开(公告)号：US20170147899A1
公开(公告)日：2017-05-25
申请号：US15359091
申请日：2016-11-22
申请人： Xiaomi Inc.
发明人： Fei Long , Zhijun Chen , Tao Zhang
IPC分类号： G06K9/46
CPC分类号： G06K9/4671 , G06K9/4647 , G06K9/6249 , G06K2009/4695 , G06K2009/485
摘要： A method for characteristic extraction includes dividing an image into a plurality of blocks, each block including a plurality of cells. The method also includes performing sparse signal decomposition for each cell to obtain a sparse vector corresponding to each cell. The method further includes extracting characteristics of Histogram of Oriented Gradient (HOG) of the image according to the sparse vectors.
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公开(公告)号：US20160283805A1
公开(公告)日：2016-09-29
申请号：US15081789
申请日：2016-03-25
申请人： MANDO CORPORATION
发明人： Jochen ABHAU
CPC分类号： G06K9/00818 , G06K2009/485 , G06T7/70 , G06T2207/30252
摘要： The invention relates to method of classifying an object (10) in an image (9), the method comprising the steps of: defining an image area (11) located within the object (10) in the image (9), decomposing the image area (11) into an array of subareas (13), defining an array of aggregated pixel values by calculating, for each of the subareas (13), an aggregated pixel value of the respective subarea (13), calculating a gradient array depending on differences between the aggregated pixel values of adjacent subareas (13), analyzing the gradient array, identifying, depending on a result of the analyzing step, the object (10) as belonging to a class of a predefined set of classes. Furthermore, the invention relates to a device (4) for analyzing an object (10) contained in an image (9) and to a driver assistance system as well as to a vehicle (1) containing such a device (4).
摘要翻译： 此外，本发明涉及一种用于分析包含在图像（9）中的物体（10）和驾驶员辅助系统以及包含这种装置（4）的车辆（1）的装置（4）。
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公开(公告)号：US09430701B2
公开(公告)日：2016-08-30
申请号：US14614891
申请日：2015-02-05
CPC分类号： G06K9/00369 , G06K9/00201 , G06K9/00342 , G06K9/00771 , G06K9/40 , G06K9/4638 , G06K2009/485 , G06T2207/10024 , G06T2207/10028 , G06T2207/20021 , G06T2207/20072 , G06T2207/30196 , G06T2207/30232
摘要： Disclosed is a system and method for detecting a human in an image, and a corresponding activity. The image is captured, wherein the image comprises a plurality of pixels having gray scale information and a depth information. The image is segmented into a plurality of segments based upon the depth information. A connected component analysis is performed on a segment in order to segregate the one or more objects into noisy objects and candidate objects, the noisy objects are eliminated from the segment. A plurality of features are extracted from the candidate objects, and are evaluated using a Hidden Markov Model (HMM) model in order to determine the candidate objects as one of the human or non-human. The corresponding activity associated with the human is detected based on a depth value associated with each pixel corresponding to the candidate object in the image.
摘要翻译： 公开了一种用于检测图像中的人的系统和方法以及相应的活动。 捕获图像，其中图像包括具有灰度信息和深度信息的多个像素。 基于深度信息将图像分割成多个片段。 在段上执行连接分量分析，以便将一个或多个对象分离成噪声对象和候选对象，从该段中消除嘈杂对象。 从候选对象中提取多个特征，并且使用隐马尔可夫模型（HMM）模型来评估，以便将候选对象确定为人或非人之一。 基于与图像中的候选对象对应的每个像素相关联的深度值来检测与人相关联的相应活动。
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公开(公告)号：US20150227808A1
公开(公告)日：2015-08-13
申请号：US14177397
申请日：2014-02-11
申请人： Google Inc.
CPC分类号： G06K9/4638 , G06K9/00637 , G06K9/342 , G06K2009/485
摘要： Systems and methods for identifying contours of objects depicted in imagery are provided. A contour of an occluded object can be reconstructed based on a source contour extracted from an image and/or other geographic data. The source contour can be analyzed to identify a main contour direction for one or more points on the source contour. A plurality of rays can be extended from each of the one or more points based on the main contour direction associated with the point. A graph model can be constructed from the plurality of rays extended from the plurality of points. A path can be determined through the graph model and the contour can be constructed based at least in part on the determined path.
摘要翻译： 提供了用于识别图像中描绘的对象轮廓的系统和方法。 可以基于从图像和/或其他地理数据提取的源轮廓来重建遮挡对象的轮廓。 可以分析源轮廓以识别源轮廓上的一个或多个点的主轮廓方向。 可以基于与点关联的主轮廓方向，从一个或多个点中的每一个延伸多个射线。 可以从从多个点延伸的多个光线构造图形模型。 可以通过图形模型确定路径，并且可以至少部分地基于所确定的路径构造轮廓。
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公开(公告)号：US08929664B2
公开(公告)日：2015-01-06
申请号：US13483540
申请日：2012-05-30
IPC分类号： G06K9/46
CPC分类号： G06K9/4647 , G06K9/481 , G06K2009/485 , G06T9/20
摘要： A method for identifying objects in a digital image includes tracing chain codes associated with the contour of the object; a series of states is maintained, and the next chain codes in the contour are accepted only if they comply with allowed chain codes for each state. Certain chain codes trigger a transition into a next state. If a disallowed chain code is encountered, the process halts.
摘要翻译： 用于识别数字图像中的对象的方法包括与对象的轮廓相关联的跟踪链码; 维持一系列状态，并且轮廓中的下一个链码只有在符合每个状态允许的链码时才被接受。 某些链码触发转换到下一个状态。 如果遇到不允许的链码，进程将停止。
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公开(公告)号：US20140314323A1
公开(公告)日：2014-10-23
申请号：US14320092
申请日：2014-06-30
CPC分类号： G06K9/481 , G06K9/00973 , G06K9/4671 , G06K2009/485
摘要： Methods and systems of recognizing images may include an apparatus having a hardware module with logic to, for a plurality of vectors in an image, determine a first intermediate computation based on even pixels of an image vector, and determine a second intermediate computation based on odd pixels of an image vector. The logic can also combine the first and second intermediate computations into a Hessian matrix computation.
摘要翻译： 识别图像的方法和系统可以包括具有硬件模块的装置，该硬件模块具有对于图像中的多个向量的逻辑，基于图像矢量的偶数像素确定第一中间计算，并且基于奇数来确定第二中间计算 图像矢量的像素。 逻辑还可以将第一和第二中间计算组合成Hessian矩阵计算。
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