Patents Issued in April 14, 2022
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Publication number: 20220114686Abstract: Disclosed herein are system, method, and apparatus for account inheritance. The method performed at a gateway server includes generating a user access token based on user information received at the gateway server, and receiving information identifying a deceased. The method includes determining one or more account identifiers corresponding to one or more accounts associated with the deceased. The method includes determining a list of beneficiaries corresponding to the one or more accounts associated with the deceased, and generating a record including the user information, the information identifying the deceased, the one or more account identifiers, and the list of beneficiaries for storing in a databased using user access token, thereby generating a form accessible based on the user access token to display content corresponding to the record stored in the database.Type: ApplicationFiled: October 14, 2020Publication date: April 14, 2022Applicant: Capital One Services, LLCInventors: Chelsea YIP, Ricardo VIVANCO, Kenneth AU, Immad MOHAMED
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Publication number: 20220114687Abstract: A scheduled boarding time acquiring unit acquires a scheduled boarding time of an airport user. A security checkpoint arrival time calculating unit calculates, based on the scheduled boarding time, a security checkpoint arrival time at which the airport user arrives at a security checkpoint. A security checkpoint congestion predicting unit acquires a time series prediction of congestion at the security checkpoint. A privilege determining unit determines, based on the security checkpoint arrival time and the time series prediction of congestion at the security checkpoint, privilege information to be issued to the airport user and its validity period. A privilege issuing unit issues, to the airport user, the privilege information determined by the privilege determining unit.Type: ApplicationFiled: November 26, 2019Publication date: April 14, 2022Applicant: NEC CorporationInventors: Akane ARUGA, Shigeki SHINODA, Takumi OTANI, Ikumi SAGA, Yuzo SENDA
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Publication number: 20220114688Abstract: DoorIQ is a software-as-a-service solution consisting of two core components. First, DoorIQ is an inspection app optimized for smartphone (either Apple or Android-powered smart devices) and the second is a cloud-based web application. The inspection app allows a certified automatic, fire, smoke, and/or egress door inspector to perform a best practice inspection for an automatic, fire, smoke, and/or egress door and enter that digitally on the smart device. The results of the inspection are stored in a database. The cloud-based web application allows inspectors, office managers and business owners to review prior inspections, add and manage certified inspectors to be able to use the app, and assign a form of payment for the use of the inspection app. The data, information, and results of inspections can then be distributed by email to property owners/managers and Authorities Having Jurisdiction (AHJ) to evidence compliance or non-compliance with codes and regulations.Type: ApplicationFiled: October 13, 2021Publication date: April 14, 2022Applicant: Emrgtech IQ, Inc. d/b/a FacilitiesIQInventors: George C. Parks, Stephen Saxton, Dianne Wainwright, Ronald Pickett
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Publication number: 20220114689Abstract: In some embodiments, apparatuses and methods are provided herein useful to calculating a capacity of a distribution center. In some embodiments, a system for calculating a capacity of a distribution center comprises input systems configured to collect metrics for the distribution center, a performance database including the metrics, and a control circuit configured to receive, from the performance database, the metrics, calculate, based on the metrics, a cases per hour (CPH) value for the distribution center, determine, based on the metrics, a shift length (SL) value for the distribution center, calculate, based on the metrics, a head count (HC) value for the distribution center, calculate, based on the CPH value, SL value and HC value, the capacity of the distribution center, wherein the capacity of the distribution center is a volume that the distribution center is capable of handling, and publish the capacity of the distribution center.Type: ApplicationFiled: October 14, 2020Publication date: April 14, 2022Inventors: Adam L. Cline, Willie Montgomery, III, Zhuofei Li
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Publication number: 20220114690Abstract: Vehicle dispatch system includes upper stage unit, lower stage unit and interface communication unit. The upper stage unit, configured to generate vehicle schedules, is communicatively connected to the interface communication unit. The lower stage unit, communicatively connected to the upper stage unit and the interface communication unit, has two storage units and a control unit. The first storage unit stores in a state representation multiple possible states having multiple possible actions. The control unit, which receives the schedule as a state representation, is configured to simulate states during an episode by selecting a state action and determining a reward value. The second storage unit stores the reward value and has a policy linked to one possible action for each state. The interface communication unit, operable to receive and transmit vehicle communications, is configured to access the policy and its associated action and communicate the action to a vehicle.Type: ApplicationFiled: August 24, 2021Publication date: April 14, 2022Inventor: Thomas M. Petroff
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Publication number: 20220114691Abstract: A control device that is communicably connected to a vehicle includes a control unit. The control unit executes acquisition of sensor information from a sensor provided in the vehicle, determination of whether the vehicle is parked based on the sensor information, determination of whether a user is staying in the vehicle based on the sensor information, and estimation that the user is staying in the vehicle when a parking time of the vehicle exceeds a first reference value and a staying time of the user exceeds a second reference value.Type: ApplicationFiled: July 28, 2021Publication date: April 14, 2022Applicant: Toyota Jidosha Kabushiki KaishaInventor: Hirohiko Morikawa
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Publication number: 20220114692Abstract: A vision inspection system includes an imaging device that is configured to image parts being inspected. The vision inspection system includes a vision inspection controller that is configured to be communicatively coupled to a machine controller of the part manufacture machine by a communication network. The vision inspection controller communicates with the communication network using a first communication protocol. The vision inspection controller creates an absolute path directory at the machine controller. The vision inspection controller receives an image from the imaging device. The vision inspection controller communicates a first trigger to the absolute path directory upon receipt of the image from the imaging device. The vision inspection controller processes the image from the imaging device to determine inspection results for a first part of the parts. The vision inspection controller sends at least one of the image or the inspection results to the machine controller.Type: ApplicationFiled: October 28, 2020Publication date: April 14, 2022Inventors: Sonny O. Osunkwo, Lei Zhou
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Publication number: 20220114693Abstract: A steganographic digital watermark signal is decoded from host imagery without requiring a domain transformation for signal synchronization, thereby speeding and simplifying the decoding operation. In time-limited applications, such as in supermarket point-of-sale scanners that attempt watermark decode operations on dozens of video frames every second, the speed improvement allows a greater percentage of each image frame to be analyzed for watermark data. In battery-powered mobile devices, avoidance of repeated domain transformations extends battery life. A great variety of other features and arrangements, including machine learning aspects, are also detailed.Type: ApplicationFiled: September 7, 2021Publication date: April 14, 2022Inventors: Geoffrey B. Rhoads, Tony F. Rodriguez, Ravi K. Sharma, Tomas Filler, Vahid Sedighianaraki
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Publication number: 20220114694Abstract: The present disclosure relates to methods and devices for graphics processing including an apparatus. In some aspects, the apparatus may determine a first input pixel area of an input image and a second input pixel area of the input image. The apparatus may also convert at least one of one or more first input pixels of a plurality of first input pixels or one or more second input pixels of a plurality of second input pixels. Additionally, the apparatus may store, in at least one cache or memory, the converted at least one of the one or more first input pixels or the one or more second input pixels. The apparatus may also configure at least one of one or more first output pixels of a plurality of first output pixels or one or more second output pixels of a plurality of second output pixels.Type: ApplicationFiled: October 13, 2020Publication date: April 14, 2022Inventors: Raja Shekhar Reddy ANNAM, Hanisha Chowdary NANDIGAM, Hariharan RAJU
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Publication number: 20220114695Abstract: The disclosure provides a display apparatus and an image scaling method. The display apparatus includes a display, configured to present a video image of a video layer and recommend information of a user layer, where the video image, in a region overlapped with an image display region in the user layer, in the video layer is visible; and a controller, configured to receive an instruction for enlarging the video image, where the image display region of the user layer is enlarged according to a first scaling rule; determine location information of the image display region, and generate a second scaling rule; and enlarge the video image in the video layer according to the second scaling rule.Type: ApplicationFiled: December 22, 2021Publication date: April 14, 2022Inventors: Huiyue ZHANG, Yican YANG
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Publication number: 20220114696Abstract: Examples of the present subject matter provide techniques for calculating amplitude fidelity (AF) for a variety of grid resolutions using a single TFM image of a specified flaw. Thus, the grid resolution may be set so that it yields a desired AF using a calculation process without performing a blind iterative process. Moreover, examples of the present subject matter may measure AF in more than one axis, improving accuracy.Type: ApplicationFiled: October 9, 2020Publication date: April 14, 2022Inventors: Nicolas Badeau, Guillaume Painchaud-April
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Publication number: 20220114697Abstract: An image correction method includes: acquiring band images obtained by imaging a subject, and a high-resolution image having a resolution higher than that of the band images; acquiring a position difference between the object band image and the reference band image among the band images; by using a pixel of the object band image as an object pixel, for each object pixel, determining a pixel value of each sub-region obtained by dividing the imaging region of the object pixel into a plurality of regions, based on the pixel value of the object pixel and a relationship between pixel values of the pixels of the high-resolution image corresponding to the object pixel; and creating a corrected band image that holds a pixel value of light on the object band image at the pixel position of the reference band image, from the determined pixel value of each sub-region and the position difference.Type: ApplicationFiled: October 6, 2021Publication date: April 14, 2022Applicant: NEC CorporationInventor: Akira MONDEN
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Publication number: 20220114698Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to adjust one or more aspect ratios of one or more objects of one or more images based, at least in part, on input from one or more users.Type: ApplicationFiled: October 8, 2020Publication date: April 14, 2022Inventor: Ming-Yu Liu
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Publication number: 20220114699Abstract: A method for improving resolution of a lower resolution image includes inputting at least one digital image into a convolutional neural network (CNN) comprising one of a SRNet and a UNet to output a two-dimensional image having a higher resolution. In some embodiments, multiple image frames may be processed using a 3D CNN to generate a two-dimensional output image.Type: ApplicationFiled: October 11, 2021Publication date: April 14, 2022Inventors: Albert Hsiao, Evan MASUTANI
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Publication number: 20220114700Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images using one or more pixel weights determined based, at least in part, on one or more sub-pixel offset values.Type: ApplicationFiled: October 8, 2020Publication date: April 14, 2022Inventors: Shiqiu Liu, Robert Pottorff, Guilin Liu, Karan Sapra, Jon Barker, David Tarjan, Pekka Janis, Edvard Fagerholm, Lei Yang, Kevin Shih, Marco Salvi, Timo Roman, Andrew Tao, Bryan Catanzaro
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Publication number: 20220114701Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images using one or more pixel weights determined based, at least in part, on one or more sub-pixel offset values.Type: ApplicationFiled: February 10, 2021Publication date: April 14, 2022Inventors: Shiqiu Liu, Robert Pottorff, Guilin Liu, Karan Sapra, Jon Barker, David Tarjan, Pekka Janis, Edvard Fagerholm, Lei Yang, Kevin Shih, Marco Salvi, Timo Roman, Andrew Tao, Bryan Catanzaro
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Publication number: 20220114702Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images using one or more pixel weights.Type: ApplicationFiled: August 19, 2021Publication date: April 14, 2022Inventors: Shiqiu Liu, Robert Pottorff, Guilin Liu, Karan Sapra, Jon Barker, David Tarjan, Pekka Janis, Edvard Fagerholm, Lei Yang, Kevin Jonathan Shih, Marco Salvi, Timo Roman, Andrew Tao, Bryan Catanzaro
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Publication number: 20220114703Abstract: The present disclosure relates to a camera device. The camera device and an electronic apparatus including the same according to an embodiment of the present disclosure include: a color camera; an IR camera; and a processor configured to separate a foreground region and a background region of an IR image from the IR camera, and to filter a color image from the color camera based on the separated foreground or background region, and generate a bokeh image for the color image. Accordingly, by using the IR image from the IR camera, the bokeh image for the color image from the color camera may be simply generated.Type: ApplicationFiled: January 10, 2020Publication date: April 14, 2022Applicant: LG ELECTRONICS INC.Inventors: Wonseok KANG, Junghee EIM, Sangjin KIM
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Publication number: 20220114704Abstract: This invention is related to a method to measure and calculate a point spread function PSF of an image detector system based on the analysis of quantum noise that is present in generic image acquisition data, and that is modulated by the transfer function of the digital imaging system. The method allows the calculation of the sharpness of a system without the need for image phantom recordings.Type: ApplicationFiled: December 16, 2019Publication date: April 14, 2022Applicant: AGFA NVInventor: Marc Cresens
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Publication number: 20220114705Abstract: Fill techniques as implemented by a computing device are described to perform hole filling of a digital image. In one example, deeply learned features of a digital image using machine learning are used by a computing device as a basis to search a digital image repository to locate the guidance digital image. Once located, machine learning techniques are then used to align the guidance digital image with the hole to be filled in the digital image. Once aligned, the guidance digital image is then used to guide generation of fill for the hole in the digital image. Machine learning techniques are used to determine which parts of the guidance digital image are to be blended to fill the hole in the digital image and which parts of the hole are to receive new content that is synthesized by the computing device.Type: ApplicationFiled: December 21, 2021Publication date: April 14, 2022Applicant: Adobe Inc.Inventors: Brian Lynn Price, Yinan Zhao, Scott David Cohen
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Publication number: 20220114706Abstract: Described herein are systems and methods for reducing image aberrations in high magnification photography with partial reflectors. In particular, by an imaging device or camera that is built into or is included in a cell phone, smart phone, tablet, laptop or any other mobile device. The systems and methods include a light passing through a lens, a portion of said light then undergoes a number of partial reflections in-between two partial reflectors, and a portion of said light then reaches an imaging sensor. The partial reflections enable a longer light path to reach the imaging sensor, thus enabling a longer focal length to be used, which enables higher magnification. Described are methods and embodiments to select the physical parameters of optical elements in systems with partial reflectors, in order to create images with reduced image aberrations.Type: ApplicationFiled: December 17, 2021Publication date: April 14, 2022Inventors: Edo WAKS, Benjamin SHAPIRO
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Publication number: 20220114707Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.Type: ApplicationFiled: February 5, 2021Publication date: April 14, 2022Inventors: Dung Trung Vo, Chenguang Liu, McClain C. Nelson, William Mandel, Soojung Hyun
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Publication number: 20220114708Abstract: An image processing method is configured to split a deconvolution kernel according to a preset splitting mode to obtain a sub-convolution kernel. And then, determining an original sub-matrix corresponding to the sub-convolution kernel, according to parameters of the sub-convolution kernel and an image feature matrix, and performing a convolution operation on the original sub-matrix corresponding to the sub-convolution kernel by using the sub-convolution kernel to obtain a deconvolution sub-matrix corresponding to each sub-convolution kernel; determining a target feature matrix according to the deconvolution sub-matrix corresponding to the sub-convolution kernel.Type: ApplicationFiled: September 10, 2021Publication date: April 14, 2022Inventors: Heguo Wang, Wen Jiang, Lea Hwang LEE, Dan Zhang
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Publication number: 20220114709Abstract: An apparatus and method for successive multi-frame image denoising are herein disclosed. The apparatus includes a first subtractor including a first input to receive a frame of the image, a second input to receive a reference frame, and an output; an absolute value function block including an input connected to the output of the first subtractor and an output; a second subtractor including a first input connected to the output of the absolute value function block, a second input for receiving a first predetermined value, and an output; and a maximum value divider function block including an input connected to the output of the second subtractor and an output for outputting filter weights.Type: ApplicationFiled: December 22, 2021Publication date: April 14, 2022Inventors: Mojtaba RAHMATI, Dongwoon BAI, Jungwon LEE
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Publication number: 20220114710Abstract: An image correction device is configured to acquire band images obtained by imaging a subject; by using at least one of the band images as a reference band image and at least one of the rest of the band images as an object band image, acquire a position difference between the object band image and the reference band image; by using a pixel of the object band image as an object pixel and each of pixels of the reference band image that overlap the object pixel when the object pixel is shifted by the position difference as a corresponding pixel, create a corrected band image that holds a pixel value of light on the object band image at the pixel position of the reference band image, on the basis of a relationship between pixel values of the corresponding pixels; and output the corrected band image.Type: ApplicationFiled: October 6, 2021Publication date: April 14, 2022Applicant: NEC CorporationInventor: Akira Monden
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Publication number: 20220114711Abstract: A microscopy method includes a trained deep neural network that is executed by software using one or more processors of a computing device, the trained deep neural network trained with a training set of images comprising co-registered pairs of high-resolution microscopy images or image patches of a sample and their corresponding low-resolution microscopy images or image patches of the same sample. A microscopy input image of a sample to be imaged is input to the trained deep neural network which rapidly outputs an output image of the sample, the output image having improved one or more of spatial resolution, depth-of-field, signal-to-noise ratio, and/or image contrast.Type: ApplicationFiled: November 19, 2021Publication date: April 14, 2022Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIAInventors: Aydogan Ozcan, Yair Rivenson, Hongda Wang, Harun Gunaydin, Kevin de Haan
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Publication number: 20220114712Abstract: The present disclosure relates to systems and methods for image processing. The methods may include obtaining, by a first processor, a first image and a second image of a target region. The methods may further include generating, by the first processor, a fused image based on the first image and the second image. The methods may further include identifying, by a second processor, a region of interest (ROI) associated with a target object in the first image. And the method may also include generating, by the second processor, a target image based at least in part on information associated with the ROI in the first image and the fused image.Type: ApplicationFiled: December 21, 2021Publication date: April 14, 2022Applicant: ZHEJIANG DAHUA TECHNOLOGY CO., LTD.Inventors: Huimin WU, Sailing WU, Wenzhi ZENG, Ronggang YI, Lipeng HAO
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Publication number: 20220114713Abstract: An image processing method for measuring displacement of an object comprising is provided. The method includes acquiring first sequential images and second sequential images, wherein two adjacent images of the first sequential images include first overlap portions, wherein two adjacent images of the second sequential images include second overlap portions, wherein the first sequential images correspond to a first three dimensional (3D) surface on the object at a first state and the second sequential images correspond to a second 3D surface on the object at a second state.Type: ApplicationFiled: January 14, 2021Publication date: April 14, 2022Inventors: Dehong Liu, Laixi Shi, Masaki Umeda, Norihiko Hana
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Publication number: 20220114714Abstract: A mask inspection method includes photographing a cell mask through which openings is formed to obtain an image, setting an area of the image adjacent to an edge of the cell mask as an inspection area, comparing a grayscale of the openings in the inspection area with a reference grayscale, and checking a defect of the cell mask according to a result of the comparing of the grayscale of the openings.Type: ApplicationFiled: June 29, 2021Publication date: April 14, 2022Applicant: Samsung Display Co., Ltd.Inventors: ILHA SONG, MIHYE KWON, JIMIN WOO, SANGDON HWANG
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Publication number: 20220114715Abstract: A method for identifying defects in a web of material translating along a travel path is provided. The method includes receiving a first image from a first camera; receiving a second image from a second camera; identifying a candidate as a possible defect within the first image; determining a first x-y position of the candidate relative to the first image; identifying the candidate within the second image; and determining the candidate is a probable defect based on the first x-y position and a second x-y position of the candidate within the second image. The first x-y position and the second x-y position predict the candidate is located on the web of material within a margin-of-error.Type: ApplicationFiled: December 20, 2021Publication date: April 14, 2022Inventor: Brian James Mock
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Publication number: 20220114716Abstract: The invention is related to a method for automatic selection and pre-processing of digital images that comprise the necessary amount of Transfer function modulated quantum-noise to apply a mathematical sharpness calculation method for calculation of a sharpness parameter of the digital imaging system. Suitable images for the method are selected from the pool of available images acquired by the digital imaging system during daily operation.Type: ApplicationFiled: January 8, 2020Publication date: April 14, 2022Applicant: AGFA NVInventor: Marc Cresens
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Publication number: 20220114717Abstract: Methods and systems for image filtering include detecting a distortion level of input images, using a distortion detection model that is trained using confidence values generated by a pre-trained image classifier with a set of distorted training images. An analysis is performed on input images having a detected distortion level that is lower than a threshold, with input images having an above-threshold detected distortion level being filtered out.Type: ApplicationFiled: October 7, 2021Publication date: April 14, 2022Inventors: Utsav Drolia, Srimat Chakradhar, Sibendu Paul
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Publication number: 20220114718Abstract: A method for automatically inspecting and grading a device includes generating an artificial intelligence (AI) grading model based on a plurality of grade criteria associated with a plurality of models of devices. The method further includes capturing a set of one or more images of the device; and grading the device based on the set of one or more images of the device using the AI grading model.Type: ApplicationFiled: December 20, 2021Publication date: April 14, 2022Inventors: Jisheng Li, George Huang
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Publication number: 20220114719Abstract: Disclosed is a system for qualifying medical images submitted by user for diagnostic analysis comprising: an image input module, configured to receive one or more image input by a user; an image protocol conformation module, configured to receive the one or more images from the image input module, and further configured to analyze each of the one or more images for conformity with a predefined protocol and wherein images that do not conform to the predefined protocol are flagged as non-conforming images; an image output module, configured to identify to the user each of the one or more images flagged as non-conforming and prompting the user to resubmit a new image for each of the non-conforming images; and an image resubmission module, configured to receive the user resubmitted image and provide the resubmitted image to the image protocol conformation module.Type: ApplicationFiled: December 21, 2021Publication date: April 14, 2022Inventors: Michael D. Abramoff, Ben Clark, Eric Talmage, John Casko, Warren Clarida, Meindert Niemeijer, Timothy Dinolfo, Tay Stutts
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Publication number: 20220114720Abstract: Methods and systems for detecting and monitoring defects in a sealing region of a container, including imaging at least part of the sealing region of the container using a camera operative at a wavelength in the range of 0.76 ?m-14 ?m; during and/or after the filling of the container with a filling material and prior to sealing of the container being completed; and identifying, based on at least one frame obtained from the imaging, defects in the sealing region.Type: ApplicationFiled: December 20, 2021Publication date: April 14, 2022Inventors: Yoav WEINSTEIN, Eran SINBAR
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Publication number: 20220114721Abstract: There is provided a method, a non-transitory computer readable medium, and a system for measuring a pattern. The method can include (a) obtaining an electron image of an area of a sample, the area comprises the pattern, the electron image comprises multiple lines; each line comprises information obtained by moving an electron beam over a scan line; (b) generating a converted image by applying a noise reduction kernel on the electron image, the noise reduction kernel has a width that represents a number of consecutive lines of the electron image; the width is determined based on relationships between analysis results obtained when using noise reduction kernels of different widths; and (c) analyzing the converted image to provide a pattern measurement.Type: ApplicationFiled: October 9, 2020Publication date: April 14, 2022Applicant: APPLIED MATERIALS ISRAEL LTD.Inventors: Vladislav Kaplan, Angela Kravtsov, Shimon Halevi, Utkarsh Rawat
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Publication number: 20220114722Abstract: A method is disclosed of generating a classifier configured to detect an object corresponding to a type of interest in an inspection image generated using penetrating radiation, the method including generating training data associated with a plurality of training images including objects corresponding to the type of interest, using a generative adversarial network including a generator and a discriminator. The method further includes training the classifier by applying a machine learning algorithm either using only the generated training data or a combination of real and generated data, wherein generating the training data includes training the generator and the discriminator using initial training data associated with a plurality of observed images generated using penetrating radiation, one or more observed images including an object corresponding to the type of interest.Type: ApplicationFiled: January 15, 2020Publication date: April 14, 2022Inventors: Pierre MERIGUET, Luis TOBIAS, Najib GADI, Laurent COHEN, Jamal ATIF
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Publication number: 20220114723Abstract: An apparatus for providing brain lesion information based on an image includes a magnetic resonance angiography (MRA) provider configured to provide an environment capable of displaying 3D time-of-flight magnetic resonance angiography (3D TOF MRA) using user input, a brain lesion input unit configured to generate and manage a brain lesion image, a maximum intensity projection (MIP) converter configured to configure MIP image data including at least one image frame corresponding to a projection position of the brain lesion image, a noise remover configured to remove noise of brain lesion information and to configure corrected MIP image data, from which the noise is removed, and an MRA reconfiguration unit configured to reconfigure a corrected brain lesion image by back-projecting the corrected MIP image data.Type: ApplicationFiled: December 27, 2019Publication date: April 14, 2022Inventors: Won Tae KIM, Shin Uk KANG, Myung Jae LEE, Dong Min KIM, Jin Seong JANG
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Publication number: 20220114724Abstract: An image processing model generation method includes: inputting at least one training sample lesion image into an initial image processing model, the initial image processing model including a classification layer and a marking layer; calling the classification layer; calling the marking layer; obtaining a loss value of the at least one training sample lesion image in the initial image processing model; determining whether the loss value is within a preset range; if not, updating parameters of the initial image processing model, an image processing model with updated parameters being used as an initial image processing model in next training; and repeating above steps until the to loss value is within the preset range.Type: ApplicationFiled: August 17, 2020Publication date: April 14, 2022Inventors: Yongming SHI, Qiong WU, Ge OU, Chun WANG
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Publication number: 20220114725Abstract: A microscopy system comprises a microscope configured to capture raw data and a computing device configured to derive at least one microscope image from the raw data and to run a processing program for processing the microscope image. The computing device is configured to first supply a microscope image which is to be processed with the processing program to a checking program, which checks the supplied microscope image with respect to an evaluation criterion predefined for the processing program. The microscope image is only transmitted to the processing program in the event of a positive checking result.Type: ApplicationFiled: October 5, 2021Publication date: April 14, 2022Inventors: Manuel Amthor, Daniel Haase
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Publication number: 20220114726Abstract: Images of individuals obtained using perfusion-based imaging techniques or diffusion-based imaging techniques can be analyzed to determine regions of the brains of the individuals where the supply of blood has been disrupted. The images can be used to generate alerts indicating the disruption of blood flow to one or more regions of the brains of the individuals. The images can be used to identify vessel segments (eg M1, M2, M3, M4, . . . ) and branches (MCA, ACA, PCA) of the brains of individuals in which abnormalities may be present.Type: ApplicationFiled: October 14, 2021Publication date: April 14, 2022Inventors: Shalini Ambika Amukotuwa, Roland Bammer
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Publication number: 20220114727Abstract: One or more medical images of a patient are processed by a first neural network model to determine a region-of-interest (ROI) or a cut-off plane. Information from the first neural network model is used to crop the medical images, which serves as input to a second neural network model. The second neural network model processes the cropped medical images to determine contours of anatomical structures in the medical images of the patient. Each of the first and second neural network models are deep neural network models. By use of cropped images in the training and inference phases of the second neural network model, contours are produced with sharp edges or flat surfaces.Type: ApplicationFiled: December 21, 2021Publication date: April 14, 2022Inventors: Hannu LAAKSONEN, Janne NORD, Jan SCHREIER
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Publication number: 20220114728Abstract: The present invention relates to a method for comparing three-dimensional dental structures, comprising the steps of acquiring (S101) a target data set representing the shape and optical properties of a natural tooth; rendering (S102) a digital tooth model (200) to generate an actual data set representing the shape and optical properties of the digital tooth model; determining (S104) a first comparison value from the actual data set; determining (S105) a second comparison value from the target data set; and determining (S106) a deviation based on the first and second comparison values.Type: ApplicationFiled: September 15, 2021Publication date: April 14, 2022Inventors: Rudolf Jussel, Christian Niedrig, Hendrik John
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Publication number: 20220114729Abstract: This X-ray imaging apparatus includes an X-ray irradiation unit, an X-ray detection unit, an X-ray image generation unit, and a control unit. The control unit includes: an enhanced image generation unit for generating an enhanced image in which a foreign object included in the X-ray image has been enhanced; an identification image generation unit for generating an identification image for identifying the foreign object by coloring a portion corresponding to the enhanced foreign object based on the enhanced image; and an image output unit for outputting an identification image.Type: ApplicationFiled: October 7, 2021Publication date: April 14, 2022Inventors: Erzhong HU, Naomasa HOSOMI, Tomohiro NAKAYA
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Publication number: 20220114730Abstract: A method for evaluating a gastrointestinal tract may include characterizing one or more disease parameters using objective measures obtained from imaging data of a gastrointestinal tract. The one or more disease parameters reflect a measure of at least one of lesions, ulcers, bleeding, stenosis, and vasculature. The method may also include using the one or more characterized disease parameters to classify a disease state.Type: ApplicationFiled: December 23, 2021Publication date: April 14, 2022Applicant: Boston Scientific Scimed, Inc.Inventors: George W. DUVAL, John Allen HINGSTON
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Publication number: 20220114731Abstract: The present disclosure provides a method and an apparatus for semantic segmentation of an image, capable of solving the problem in the related art associated with low speed and inefficiency in semantic segmentation of images. The method includes: receiving the image; performing semantic segmentation on the image to obtain an initial semantic segmentation result; and inputting image information containing the initial semantic segmentation result to a pre-trained convolutional neural network for semantic segmentation post-processing, so as to obtain a final semantic segmentation result. With the solutions of the present disclosure, the initial semantic segmentation result can be post-processed using the convolutional neural network, such that the speed and efficiency of the semantic segmentation of the image can be improved.Type: ApplicationFiled: December 20, 2021Publication date: April 14, 2022Inventors: Hengchen DAI, Naiyan WANG
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Publication number: 20220114732Abstract: A microscopy system comprises a microscope configured to capture an overview image and a computing device comprising a model trained for image segmentation, which calculates a segmentation mask based on the overview image. The computing device adjusts a pattern described by a parameterized model to the segmentation mask. An updated segmentation mask is generated using the adjusted pattern.Type: ApplicationFiled: October 5, 2021Publication date: April 14, 2022Inventors: Manuel Amthor, Daniel Haase
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Publication number: 20220114733Abstract: Described herein are means for implementing contrastive learning via reconstruction within a self-supervised learning framework, in which the trained deep models are then utilized for the processing of medical imaging. For instance, an exemplary system is specially configured for performing a random cropping operation to crop a 3D cube from each of a plurality of medical images received at the system as input; performing a resize operation of the cropped 3D cubes; performing an image reconstruction operation of the resized and cropped 3D cubes to predict the whole image represented by the original medical images received; and generating a reconstructed image which is analyzed for reconstruction loss against the original image representing a known ground truth image to the reconstruction loss function. Other related embodiments are disclosed.Type: ApplicationFiled: October 8, 2021Publication date: April 14, 2022Inventors: Ruibin Feng, Zongwei Zhou, Jianming Liang
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Publication number: 20220114734Abstract: A system for performing background and floor replacement in full-length subject images is described. A set of three or more images of a subject can be captured under different illumination conditions. For example, at least one of the images is captured while a foot portion of the subject and surrounding floor, including a floor mat on which the subject is positioned, are illuminated by a floor lighting device. The floor mat has a Lambertian surface to reflect light in a particular manner such that a maximum contrast between the floor and the subject is captured in the image. Varying contrast between the background, floor, and subject among the images of the set can be leveraged by an image processing system to generate a background mask and a floor mask that are combined and seamlessly transitioned to yield a compiled mask for use in background and floor replacement.Type: ApplicationFiled: October 14, 2020Publication date: April 14, 2022Applicant: Shutterfly, LLCInventor: Keith A. Benson
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Publication number: 20220114735Abstract: Techniques are disclosed for analyzing and learning behavior in an acquired stream of video frames. In one embodiment, a trajectory analyzer clusters trajectories of objects depicted in video frames and builds a trajectory model including the trajectory clusters, a prior probability of assigning a trajectory to each cluster, and an intra-cluster probability distribution indicating the probability that a trajectory mapping to each cluster is least various distances away from the cluster. Given a new trajectory, a score indicating how unusual the trajectory is may be computed based on the product of the probability of the trajectory mapping to a particular cluster and the intra-cluster probability of the trajectory being a computed distance from the cluster. The distance used to match the trajectory to the cluster and determine intra-cluster probability is computed using a parallel Needleman-Wunsch algorithm, with cells in antidiagonals of a matrix and connected sub-matrices being computed in parallel.Type: ApplicationFiled: October 25, 2021Publication date: April 14, 2022Applicant: Intellective Ai, Inc.Inventors: Gang XU, Ming-Jung SEOW, Tao YANG, Wesley Kenneth COBB