-
公开(公告)号：US20230384989A1
公开(公告)日：2023-11-30
申请号：US18031578
申请日：2021-12-22
Applicant: KYOCERA Document Solutions Inc.
Inventor： Kazunori TANAKA , Takuya MIYAMOTO , Koji SATO , Rui HAMABE , Kanako MORIMOTO
CPC classification number: G06F3/121 , G06T7/0004 , G06V10/44 , G06V20/50 , G06V10/7715 , G06T7/90 , G06V10/764 , G06F3/1208 , G06F3/1234 , G06V10/20 , G06T2207/10024 , G06T2207/30144
Abstract: An object of the present invention is to determine the cause of an image defect that occurs in an image forming device with high accuracy while suppressing the amount of calculation at a processor. A processor (80) determines the cause of an image defect on the basis of a test image read from an output sheet of an image forming device (2). The processor (80) generates a plurality of feature images by executing a feature extraction process on the test image. Further, the processor (80) uses each of the plurality of feature images as an input image and determines which of a plurality of cause candidates corresponding to the image defect the input image corresponds to by pattern recognition of the input image.
-
公开(公告)号：US20230034236A1
公开(公告)日：2023-02-02
申请号：US17814322
申请日：2022-07-22
Applicant: KYOCERA Document Solutions Inc.
Inventor： Koji SATO , Hiroka ITANI , Shiro KANEKO , Naomichi HIGASHIYAMA
IPC: G06T7/00 , G06V10/22 , G06V10/44 , G06V10/98 , G06V10/771
Abstract: An abnormality detection unit detects an abnormal object in target images repeatedly acquired. An abnormality type selection unit selects, for each of the target images, an abnormality type of the abnormal object from a plurality of specific abnormality types based on values of at least two basic feature amounts. A feature amount monitoring unit monitors the values of the basic feature amounts and a value of an auxiliary feature amount corresponding to the abnormality type currently selected by the abnormality type selection unit. An adjustment processing unit executes an adjustment process corresponding to the auxiliary feature amount being monitored by the feature amount monitoring unit. The abnormality type selection unit changes the abnormality type to be selected, in accordance with the change in the values of the basic feature amounts mentioned above.
-
Patent Agency Ranking
公开(公告)号：US20230034027A1
公开(公告)日：2023-02-02
申请号：US17873371
申请日：2022-07-26
Applicant: KYOCERA Document Solutions Inc.
Inventor： Koji SATO , Kanako MORIMOTO , Rui HAMABE , kazunori TANAKA , Takuya MIYAMOTO
Abstract: A vector generation unit derives a feature vector of a reference document and a feature vector of a population document. A feature quantity extraction unit performs a dimensionality reduction process to reduce dimensionality of the above feature vectors and sets a dimensional value obtained by the dimensionality reduction process as a first feature quantity, and derives a cosine similarity between the feature vector of the reference document and the feature vector of the population document as a second feature quantity. A retrieval range control unit extracts a specific number of population documents, starting from the population document with the shortest distance to the reference document in a feature quantity space of the first feature quantity, so as to limit a retrieval range. A training data extraction unit extracts, as training data, a specific number of documents from the extracted documents, starting from the document with the lowest cosine similarity.
-
公开(公告)号：US20230260102A1
公开(公告)日：2023-08-17
申请号：US18031585
申请日：2021-12-22
Applicant: KYOCERA Document Solutions Inc.
Inventor： Takuya MIYAMOTO , Kazunori TANAKA , Kanako MORIMOTO , Koji SATO , Rui HAMABE
CPC classification number: G06T7/0008 , G06T5/20 , G06T9/00 , G06V10/25 , G06V10/751 , G06T7/90 , G06V10/764 , G06T2207/10024 , G06T2207/20192 , G06T2207/30144
Abstract: An object of the present invention is to extract image defects from a test image for each type by a simple process. A processor (80) generates a first preprocessed image and a second preprocessed image by executing a main filter process with each of a horizontal direction and a vertical direction of the test image used as a processing direction. The main filter process is a process of converting the pixel value of each pixel of interest sequentially selected from the test image into a converted value obtained by a process of emphasizing the difference between the pixel values of an area of interest and the pixel values of two adjacent areas. The processor (80) extracts, as the image defects, a first singular part that is present in the first preprocessed image and is not common to both images, a second singular part that is present in the second preprocessed image and is not common to both images, and a third singular part that is common to both images.
-
公开(公告)号：US20220210277A1
公开(公告)日：2022-06-30
申请号：US17563381
申请日：2021-12-28
Applicant: KYOCERA Document Solutions Inc.
Inventor： Rui HAMABE , Kazunori TANAKA , Kanako MORIMOTO , Takuya MIYAMOTO , Koji SATO
Abstract: The image processing apparatus includes: an abnormality detection unit configured to detect one or more abnormalities included in a target image and an abnormality exclusion processing unit configured to exclude a specific abnormality from the detected one or more abnormalities. In a case in which a detection area of a certain abnormality among the detected one or more abnormalities and a detection area of another abnormality overlap with each other and a type of the certain abnormality and a type of the another abnormality are different from each other, when brightness information of one of the certain abnormality and the another abnormality satisfies a specific condition, the abnormality exclusion processing unit excludes the one of the certain abnormality and the another abnormality from the detected one or more abnormalities.
-
6.发明公开公开(公告)号：US20240011769A1
公开(公告)日：2024-01-11
申请号：US18255846
申请日：2021-11-29
Applicant: KYOCERA Document Solutions Inc.
Inventor： Koji SATO , Kazuhiro NAKACHI , Rui HAMABE , Takuya MIYAMOTO
CPC classification number: G01B11/25 , G06T7/70 , H04N1/00734 , H04N1/00726 , H04N1/00755 , G06T2207/30176 , H04N2201/0094 , H04N1/00771
Abstract: A sheet identification device includes a light irradiation portion. When forming an identification image, the light irradiation portion projects first pattern light (P11) and second pattern light (P12) having different dependences on a fiber direction of a surface of a sheet on an identification region (R1). The identification image is an image of the identification region (R1) of the surface of the sheet on which image formation or image reading is performed, which is used for identifying the fiber direction of the surface of the sheet.
-
公开(公告)号：US20230034012A1
公开(公告)日：2023-02-02
申请号：US17873351
申请日：2022-07-26
Applicant: KYOCERA Document Solutions Inc,
Inventor： Koji SATO , Kanako MORIMOTO , Rui HAMABE , Kazunori TANAKA , Takuya MIYAMOTO
IPC: G06F16/93 , G06F16/9035 , G06F16/9038
Abstract: A vector generation unit derives a reference feature vector and a document feature vector. A feature quantity extraction unit performs a dimensionality reduction process on the reference feature vector and the document feature vector so as to set a dimensional value as a first feature quantity and derives a cosine similarity between the reference feature vector and the document feature vector as a second feature quantity. A grid division unit classifies documents into first partial regions obtained by dividing a feature quantity space of the first feature quantity, and classifies the documents into second partial regions obtained by dividing a range of the second feature quantity. A training data extraction unit selects, for each combination of a first partial region and a second partial region, a document classified in both the partial regions and sets documents selected with respect to all combinations as training data.
-
-
-
-
-
-
Search Results
7
records
(took 0.012 seconds)
