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1.发明申请公开(公告)号：US20190183429A1
公开(公告)日：2019-06-20
申请号：US16104131
申请日：2018-08-16
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Kyung Hyun Sung , William Hsu , Shiwen Shen , Xinran Zhong
CPC classification number: A61B5/7267 , A61B5/055 , A61B5/08 , A61B5/201 , A61B5/4244 , A61B5/4381 , G06K9/42 , G06K9/527 , G06K9/6269 , G06K9/66
Abstract: An automatic classification method for distinguishing between indolent and clinically significant carcinoma using multiparametric MRI (mp-MRI) imaging is provided. By utilizing a convolutional neural network (CNN), which automatically extracts deep features, the hierarchical classification framework avoids deficiencies in current schemes in the art such as the need to provide handcrafted features predefined by a domain expert and the precise delineation of lesion boundaries by a human or computerized algorithm. This hierarchical classification framework is trained using previously acquired mp-MRI data with known cancer classification characteristics and the framework is applied to mp-MRI images of new patients to provide identification and computerized cancer classification results of a suspicious lesion.
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2.发明申请公开(公告)号：US20180270422A1
公开(公告)日：2018-09-20
申请号：US15462505
申请日：2017-03-17
Applicant: Uurmi Systems Pvt Ltd
Inventor： VIVEK AKKALA , PARTH NAYANKUMAR PARIKH , MAHESH KUMAR B S , AJINKYA S. DESHMUKH , SWARUP S. MEDASANI
CPC classification number: H04N5/23248 , G06K9/4642 , G06K9/525 , G06K9/527 , H04N5/2171 , H04N5/2254 , H04N5/23229 , H04N5/23267
Abstract: A method and system for detection of contaminants present on a lens of an imaging device is disclosed. An input image received from an imaging device is split into a plurality of patches of predefined size and a kurtosis value calculated for each and compared with a median kurtosis value. Patches having kurtosis value less than the median kurtosis value are selected. Based on comparison of a first maximum likelihood of the selected patches with a predefined threshold, one or more selected patches are stored. Such patches are split into a top and a bottom portion for processing based on discrete wavelet transform and singular value decomposition, respectively. The top and the bottom portion are merged patches for which a second maximum likelihood is greater than a second predefined threshold, are stored. Further, contaminants in the image are classified into predefined categories based on one or more image features.
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公开(公告)号：US20180245926A1
公开(公告)日：2018-08-30
申请号：US15968971
申请日：2018-05-02
Applicant: Crown Equipment Corporation
Inventor： Mark Bell
IPC: G01C21/20 , G06T5/20 , G06K9/52 , G05D1/02 , G06T7/73 , G06K9/62 , G06K9/78 , G06K9/00 , G06K9/46 , G06T5/00
CPC classification number: G01C21/206 , G05D1/0246 , G05D2201/0216 , G06K9/00664 , G06K9/00791 , G06K9/4671 , G06K9/527 , G06K9/6232 , G06K9/78 , G06T5/002 , G06T5/20 , G06T7/73 , G06T2207/10016 , G06T2207/20016 , G06T2207/30241 , G06T2207/30244 , G06T2207/30252
Abstract: An industrial vehicle is provided comprising a drive mechanism, a steering mechanism, a vehicle controller, a camera, and a navigation module. The camera is communicatively coupled to the navigation module, the vehicle controller is responsive to commands from the navigation module, and the drive mechanism and the steering mechanism are responsive to commands from the vehicle controller. The camera is configured to capture an input image of a warehouse ceiling comprising elongated skylights characterized by different rates of image intensity change along longitudinal and transverse axial directions, and ceiling lights characterized by a circularly symmetric rate of image intensity change. The navigation module is configured to distinguish between the ceiling lights and the skylights and send commands to the vehicle controller for localization, or to navigate the industrial vehicle through the warehouse based upon valid ceiling light identification, valid skylight identification, or both.
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公开(公告)号：US09798924B2
公开(公告)日：2017-10-24
申请号：US14827725
申请日：2015-08-17
Applicant: Lexmark International, Technology Sarl
Inventor： Ralph Meier , Johannes Hausmann , Harry Urbschat , Thorsten Wanschura
CPC classification number: G06K9/00449 , G06K9/4647 , G06K9/527 , G06K9/6857
Abstract: Methods and apparatus delineate grouped together content in documents. Void and unvoid pixels in document images get clustered together. Execution of a histogram and autocorrelation function, including peak detection, against the unvoid clusters reveals the content. Techniques for clustering include iteratively transforming an original image into secondary images with a Haar wavelet transformation, for example. Clustering begins on a lowest image plane and advances to a next highest plane until all void and unvoid pixels in the images are grouped. Void clusters at lower levels remain void clusters at higher levels, thus only unvoid clusters of pixels require processing at higher levels thereby optimizing processing. Imaging devices with scanners define suitable hardware for transformation of the document into images and processors with executable code cluster together pixels to delineate content. Further processing includes executing OCR or other routines post void/unvoid analysis.
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5.发明申请公开(公告)号：US20170295014A1
公开(公告)日：2017-10-12
申请号：US15482759
申请日：2017-04-08
Applicant: UNIVERSITY OF MARYLAND, COLLEGE PARK
Inventor： John S. BARAS , Vladimir Iankov IVANOV
CPC classification number: H04L63/0861 , G06K9/00006 , G06K9/527 , G06K9/6277 , G06K2009/00583 , H04L9/0866 , H04L9/3231 , H04L63/0435
Abstract: Methods and apparatuses for authenticating communication devices and securely transmitting and/or receiving encrypted voice and data information. A biometric scanner, for example a fingerprint scanner, is utilized for authenticating the communication device and for generating the encryption key. The fingerprint scanner can be an area or swipe type of scanner is registered to a particular user and has unique intrinsic characteristics (the scanner pattern) that are permanent over time and can identify the scanner even among scanners of the same manufacturer and model. The unique scanner pattern of the scanner generates a unique encryption key that cannot be reproduced using another fingerprint scanner.
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Patent Agency Ranking
公开(公告)号：US20170291427A1
公开(公告)日：2017-10-12
申请号：US15510376
申请日：2015-09-24
Applicant: CANON KABUSHIKI KAISHA
Inventor： Hideki Kubo
CPC classification number: B41J2/2054 , B29C64/112 , B29C64/386 , B29C64/393 , B33Y50/00 , B33Y50/02 , B41J2/2121 , B41J2/2132 , G06K9/527 , G06K15/021 , G06K15/105
Abstract: MTF characteristics of a concavo-convex forming apparatus change depending on the amount of amplitude of input data, the operation condition of the apparatus, etc., and therefore, it is not possible to form a concavo-convex shape with good characteristics only by applying the MTF correction technique widely known in the image processing field. A concavo-convex forming apparatus including an input unit configured to input concavo-convex data representing concavo-convex of an object to be printed, and a correction unit configured to perform correction in accordance with a plurality of frequency band of the input concavo-convex data and whose intensity is made higher for the larger amplitude on the input concavo-convex data based on frequency response characteristics in a case where concavo-convex is formed on a printing medium.
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公开(公告)号：US20170103537A1
公开(公告)日：2017-04-13
申请号：US15276569
申请日：2016-09-26
Inventor： Chun Hing Cheng , Joseph Ross Mitchell
IPC: G06T7/11
CPC classification number: G06T7/0012 , G06F17/148 , G06K9/527 , G06T2207/20048 , G06T2207/20081 , G06T2207/30096
Abstract: An image processing device and methods for performing an S-transform (ST) are provided herein. An example method of generating a compressed form of values of a one-dimensional ST for a time series and generating an approximate form of ST is provided herein. Additionally, an example method of determining local spectrum at a pixel is provided herein. Further, an example method of determining ST magnitudes and statistics in a region of interest (ROI) is provided herein.
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8.发明申请FEATURE SELECTION ALGORITHM UNDER CONDITIONS OF NOISY DATA AND LIMITED RECORDING 有权基于噪声数据和有限记录条件的特征选择算法公开(公告)号：US20170004362A1
公开(公告)日：2017-01-05
申请号：US14788076
申请日：2015-06-30
Applicant: International Business Machines Corporation
Inventor： Saritha Arunkumar , Su Yang
CPC classification number: G06N99/005 , G06K9/00523 , G06K9/527 , G06K9/6231 , G06K9/6256 , G06K9/6257 , G06K9/6268 , G06K9/6272 , G06K9/66 , G06N5/047
Abstract: Application of inter-class and intra-class filtering, based on aggregate point-to-point distances, to vector data for purposes of filtering the vector data for purposes of pattern recognition. In some embodiments: (i) the inter-class filtering is based on Euclidean distance, in all dimensions, between vector data points in vector space; and/or (ii) the intra-class filtering is based on a distance, in all dimensions, between vector data points in vector space.
Abstract translation: 基于聚合点对点距离的类间和类内过滤应用于向量数据，以便为了模式识别的目的过滤向量数据。 在一些实施例中：（i）类间过滤基于欧氏距离，在所有维度上，在向量空间中的向量数据点之间; 和/或（ii）类内过滤基于向量空间中的向量数据点之间的所有维度的距离。
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公开(公告)号：US20160086027A1
公开(公告)日：2016-03-24
申请号：US14802183
申请日：2015-07-17
Inventor： Jean-Baptiste Sibarita
CPC classification number: G06K9/00516 , G01N21/64 , G01N21/6458 , G01N2015/0238 , G01N2015/1486 , G02B21/0076 , G02B21/365 , G06K9/00127 , G06K9/0014 , G06K9/0053 , G06K9/2027 , G06K9/527 , G06T7/11 , G06T7/168 , G06T7/70 , G06T7/73 , G06T2207/10056 , G06T2207/10064 , G06T2207/20064
Abstract: Accurate localization of isolated particles is important in single particle based super-resolution microscopy. It allows the imaging of biological samples with nanometer-scale resolution using a simple fluorescence microscopy setup. Nevertheless, conventional techniques for localizing single particles can take minutes to hours of computation time because they require up to a million localizations to form an image. In contrast, the present particle localization techniques use wavelet-based image decomposition and image segmentation to achieve nanometer-scale resolution in two dimensions within seconds to minutes. This two-dimensional localization can be augmented with localization in a third dimension based on a fit to the imaging system's point-spread function (PSF), which may be asymmetric along the optical axis. For an astigmatic imaging system, the PSF is an ellipse whose eccentricity and orientation varies along the optical axis. When implemented with a mix of CPU/GPU processing, the present techniques are fast enough to localize single particles while imaging (in real-time).
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公开(公告)号：US20160012566A1
公开(公告)日：2016-01-14
申请号：US14329991
申请日：2014-07-14
Applicant: NOVATEK Microelectronics Corp.
Inventor： Lin ZHA , Chun-Wei CHEN , Yuanjia DU , Chun WANG
CPC classification number: G06T3/4007 , G06F17/148 , G06F17/175 , G06K9/527 , G06T3/4084 , G06T5/001 , G06T2207/20064
Abstract: An image interpolation method is utilized for performing an interpolation on a source image to obtain a destination image. The image interpolation method includes performing a domain transformation on a plurality of pixels of the source image to generate a plurality of first coefficients and a plurality of second coefficients; respectively determining an data interrelationship degree in at least one direction of each first coefficient to generate a plurality of direction results; performing a first interpolation process on the plurality of first coefficients according to the plurality of direction results to generate a plurality of first destination coefficients; performing a second interpolation process on the plurality of second coefficients to generate a plurality of second destination coefficients; performing a reverse domain transformation on the plurality of first destination coefficients and the plurality of second destination coefficients to obtain the destination image.
Abstract translation: 利用图像插值方法对源图像进行插值以获得目的图像。 图像插值方法包括对源图像的多个像素执行域变换以生成多个第一系数和多个第二系数; 分别确定每个第一系数的至少一个方向上的数据相互关系度以产生多个方向结果; 根据所述多个方向结果对所述多个第一系数进行第一插值处理，以产生多个第一目的地系数; 对所述多个第二系数执行第二插值处理以生成多个第二目的地系数; 对所述多个第一目的地系数和所述多个第二目的地系数执行反向域变换以获得所述目的地图像。
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