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公开(公告)号:US10031706B2
公开(公告)日:2018-07-24
申请号:US14871893
申请日:2015-09-30
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor: Michael Januszewski
IPC: G06F3/12
Abstract: A method performed by a print service provider (PSP) for printing, including: (a) obtaining from a network a print job issued by a user mobile device and specifying a printer feature; (b) obtaining a location of the user mobile device; (c) determining a first printer having the printer feature and located within a predetermined distance of the location of the user mobile device; (d) sending a notification identifying the first printer to the user mobile device; (e) checking if a confirmation for the first printer issued by the user mobile device is obtained; (f) if the confirmation is not obtained in the step (e), repeating the steps (b) through (e); and (g) if the confirmation is obtained in the step (e), sending the print job to the first printer, where the first printer generates a hardcopy document from the print job using printer requirement.
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公开(公告)号:US20180192029A1
公开(公告)日:2018-07-05
申请号:US15394846
申请日:2016-12-30
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor: Wei Ming , Xiaonong Zhan , Taisuke Akahori
IPC: H04N13/02 , G06T7/00 , G06K9/46 , G06K9/62 , G06T7/90 , G06T7/50 , H04N5/235 , H04N5/232 , A61B5/00
Abstract: A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.
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公开(公告)号:US20180186092A1
公开(公告)日:2018-07-05
申请号:US15395435
申请日:2016-12-30
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor: Kurt Nathan Nordback
Abstract: A method for three-dimensional (3D) printing. The method includes: obtaining a native file of a computer-aided design (CAD) application; identifying, within the native file, a first 3D shape associated with a 3D infill pattern; generating a slicer description language file including: a first section specifying the 3D infill pattern; and a second section including instructions to print the first 3D shape filled with multiple instances of the 3D infill pattern by referencing the first section, where the first section and the second section are separate in the slicer description language file; and sending the slicer description language file to a 3D printer for printing the first 3D shape filled with the 3D infill pattern.
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公开(公告)号:US20180181804A1
公开(公告)日:2018-06-28
申请号:US15393056
申请日:2016-12-28
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor: Saman Sarraf , Duanduan Yang
CPC classification number: G06K9/00409 , G06K9/42 , G06K9/4642 , G06K9/6256 , G06K9/6262 , G06T5/002 , G06T5/20
Abstract: Disclosed herein is a method of optimizing data normalization by selecting the best height normalization setting from training RNN (Recurrent Neural Network) with one or more datasets comprising multiple sample images of handwriting data, which comprises estimating a few top place ratios for normalization by minimizing a cost function for any given sample image in the training dataset, and further, determining the best ratio from the top place ratios by validating the recognition results of sample images with each top place ratio.
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公开(公告)号:US09981871B2
公开(公告)日:2018-05-29
申请号:US14912406
申请日:2014-08-29
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor: Jun Amano
IPC: C03C23/00 , B05D3/00 , C03C11/00 , B05D3/06 , B05D5/00 , B05D7/02 , C03C15/00 , C23C14/34 , C23C18/38 , C23C14/10 , C23C14/18
CPC classification number: C03C11/005 , B05D3/007 , B05D3/06 , B05D5/00 , B05D7/02 , C03C15/00 , C03C23/0005 , C23C14/10 , C23C14/185 , C23C14/34 , C23C18/38
Abstract: A method of forming a coating that includes depositing a multicomponent glass layer on a polymer substrate and depositing a heat absorbing layer on the multicomponent glass layer. Inducing spinodal decomposition of the multicomponent glass layer by annealing the heat absorbing layer, and etching at least one of a phase separated component of the multicomponent glass layer. The spinodal decomposition may be achieved through a pulse thermal or electromagnetic assisted annealing process. The coating may then be used as a hydrophilic surface, or may be fluorinated using conventional methods to produce the superhydrophobic coating.
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公开(公告)号:US09977979B2
公开(公告)日:2018-05-22
申请号:US15199601
申请日:2016-06-30
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor: Darrell Eugene Bellert
CPC classification number: G06K9/342 , G06K9/00416 , G06K2209/01
Abstract: A method for image processing includes obtaining a mask of an image; identifying, in the mask, a first stroke segment and a second stroke segment for possible merging, wherein the first stroke segment and the second stroke segment do not overlap; calculating a plurality of merger eligibility scores for the first stroke segment and the second stroke segment; calculating an aggregate merger eligibility score for the first stroke segment and the second stroke segment based on the plurality of merger eligibility scores; and merging the first stroke segment and the second stroke segment based on the aggregate merger eligibility score.
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公开(公告)号:US09965871B1
公开(公告)日:2018-05-08
申请号:US15396116
申请日:2016-12-30
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
CPC classification number: G06T7/90 , G06T5/40 , G06T2207/10024
Abstract: An image encoded with character information can be created by binarizing an input image followed by connected component labeling, and then repeating the binarization and connected component labeling on an inverted version of the input image. This results in identification of connected components. Related connected components are arranged in a family tree in which successive generations of the connected components alternate between two tree layer classifications. One of the tree layer classifications is selected based on whether certain connected components define characters. A label image is created which includes labels for the connected components except for the connected components in the selected tree layer classification.
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公开(公告)号:US09965695B1
公开(公告)日:2018-05-08
申请号:US15394841
申请日:2016-12-30
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor: Wei Ming
CPC classification number: G06K9/38 , G06K9/00456 , G06K9/342 , G06K9/344 , G06K2209/01 , H04N1/40012 , H04N1/40062 , H04N1/405
Abstract: A method for binarizing a grayscale document image, which first divides the document image into a plurality of sub-images and determining a type of each sub-image based on a horizontal projection profile and a density of each sub-image, the type being 1: text only, 2: graphics only, 3: photo only, 4: text and graphics, 5: text and photo, 6: graphics and photo, or 7: text and graphics and photo. Then a selected one of first to seventh binarization processes is applied to binarize each sub-image based on its type to generate a binary sub-image. All binary sub-images are then combine to generate a binary image of the grayscale document image. Of the first to seventh binarization processes respectively applied to the first to seventh types of sub-images, at least those for the first, second, third, fifth, sixth and seventh type are different from each other.
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公开(公告)号:US09965678B2
公开(公告)日:2018-05-08
申请号:US15197595
申请日:2016-06-29
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor: Gang Fang
CPC classification number: G06K9/00456 , G06K9/00449 , G06T7/13 , G06T2207/20224 , G06T2207/30176 , G06T2207/30242 , G06T2210/12
Abstract: A table and flowchart detection method is disclosed. First, based on connected component analysis and the sizes of the connected components, a target connected component that corresponds to possible elements of table or flowchart is detected in the input image. The target connected component is broken into corners and edges that connect the corners. Based on the relationship between the corners and edges, it is determined whether the target connected component is a table or a flowchart. For table detection, the edges and corners are linked into horizontal sets and vertical sets, and based on corner counts in the horizontal sets and vertical sets, it is determined whether the target connected component is a table. For flowchart detection, the boundary boxes and connecting lines between boundary boxes are detected to determine whether the target connected component is a flowchart.
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公开(公告)号:US20180089525A1
公开(公告)日:2018-03-29
申请号:US15279979
申请日:2016-09-29
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor: Duanduan Yang
CPC classification number: G06K9/346 , G06K9/00859 , G06K9/344 , G06K9/72 , G06K2209/01
Abstract: A method for segmenting an image containing handwritten text into line segments and word segments. The image is horizontally down sampled at a first ratio. Connected regions in the down-sampled image are detected; horizontal neighboring ones are merged to form lines, to segment the original image into line images. Each line image is horizontally down sampled at a second ratio which is smaller than the first ratio. Connected regions in the down-sampled line image are detected to obtain potential word segmentation positions. A path is a way of dividing the line at some or all of the potential word segmentation positions into multiple path segments; for each of all possible paths, word recognition is applied to each path segment to calculate a word recognition score, and an average word recognition score for the path is calculated; the path with the highest score gives the final word segmentation.
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