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公开(公告)号：US20220207701A1
公开(公告)日：2022-06-30
申请号：US17558343
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Kanako Morimoto , Kazunori Tanaka , Koji Sato , Takuya Miyamoto , Rui Hamabe
Abstract: A processor determines an image defect in a test image obtained through an image reading process performed on an output sheet output by an image forming apparatus. The processor creates an image to be processed including a horizontal line, extending in a horizontal direction, extracted from the test image. Furthermore, the processor determines the presence or absence of at least one periodicity set in advance in a vertical direction in the image to be processed and determines the cause of the horizontal line according to the determination result on the periodicity.
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公开(公告)号：US12141955B2
公开(公告)日：2024-11-12
申请号：US17558350
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Kazunori Tanaka , Kanako Morimoto , Takuya Miyamoto , Koji Sato , Rui Hamabe
Abstract: A processor determines a cause of an image defect based on a test image that is obtained through an image reading process performed on an output sheet output from an image forming device. The processor generates an extraction image by extracting, from the test image, a noise point that is a type of image defect. Furthermore, the processor determines a cause of the noise point by using at least one of, in the extraction image: an edge strength of the noise point; a degree of flatness of the noise point; and a pixel value distribution of a transverse pixel sequence that is a pixel sequence traversing the noise point.
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公开(公告)号：US20220414852A1
公开(公告)日：2022-12-29
申请号：US17844196
申请日：2022-06-20
Applicant: KYOCERA Document Solutions Inc.
Inventor： Shiro Kaneko , Hiroka Itani , Koji Sato , Naomichi Higashiyama
Abstract: An anomaly detecting unit detects an anomaly object in a target image. A characteristic amount watching unit watches at least two basic characteristic amounts of the anomaly object, determines whether values of the basic characteristic amounts satisfy a predetermined watching determination condition of any one of predetermined plural anomaly types or not, if it is determined that the values of the basic characteristic amounts satisfy the watching determination condition, determines as an auxiliary characteristic amount for the anomaly object a characteristic amount corresponding to the anomaly type of which the values of the basic characteristic amounts satisfy the watching determination condition, and starts watching a value of the auxiliary characteristic amount. An anomaly type determining unit determines an anomaly type of the anomaly object on the basis of the basic characteristic amounts and the auxiliary characteristic amount currently watched by the characteristic amount watching unit.
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公开(公告)号：US11503167B2
公开(公告)日：2022-11-15
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.
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公开(公告)号：US20220210293A1
公开(公告)日：2022-06-30
申请号：US17558250
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Koji Sato , Kazunori Tanaka , Takuya Miyamoto , Kanako Morimoto , Rui Hamabe
Abstract: A processor identifies a specific part composed of a plurality of significant pixels in a mixed-color test image. Furthermore, the processor identifies a color vector. The color vector represents a vector in a color space from one of a color of the specific part in the mixed-color test image and a color of a reference area including a periphery of the specific part to the other. Furthermore, the processor determines which of a plurality of image creating portions of an image forming device corresponding to a plurality of developing colors, is a cause of an image defect, based on the color vector identified from the mixed-color test image.
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Patent Agency Ranking
公开(公告)号：US20220207703A1
公开(公告)日：2022-06-30
申请号：US17558411
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Rui Hamabe , Kazunori Tanaka , Takuya Miyamoto , Kanako Morimoto , Koji Sato
IPC: G06T7/00 , G06T7/90 , G06T7/13 , G06V10/22 , G06V10/24 , G06V10/36 , G06V10/44 , G06V10/56 , G06V10/98 , G03G15/01 , G03G15/00
Abstract: A processor determines a cause of an image defect based on a test image that is obtained through an image reading process performed on an output sheet output from an image forming device. The processor extracts a vertical stripe part extending along a sub scanning direction in the test image. Furthermore, the processor determines which of predetermined two types of cause candidates is a cause of the vertical stripe part, based on a distribution of a pixel value sequence along a main scanning direction that crosses the sub scanning direction, in a target part including the vertical stripe part in the test image.
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公开(公告)号：US12141956B2
公开(公告)日：2024-11-12
申请号：US17558411
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Rui Hamabe , Kazunori Tanaka , Takuya Miyamoto , Kanako Morimoto , Koji Sato
IPC: G06T7/00 , G03G15/00 , G03G15/01 , G06T7/13 , G06T7/90 , G06V10/22 , G06V10/24 , G06V10/36 , G06V10/44 , G06V10/56 , G06V10/98
Abstract: A processor determines a cause of an image defect based on a test image that is obtained through an image reading process performed on an output sheet output from an image forming device. The processor extracts a vertical stripe part extending along a sub scanning direction in the test image. Furthermore, the processor determines which of predetermined two types of cause candidates is a cause of the vertical stripe part, based on a distribution of a pixel value sequence along a main scanning direction that crosses the sub scanning direction, in a target part including the vertical stripe part in the test image.
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公开(公告)号：US12141954B2
公开(公告)日：2024-11-12
申请号：US17558343
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Kanako Morimoto , Kazunori Tanaka , Koji Sato , Takuya Miyamoto , Rui Hamabe
Abstract: A processor determines an image defect in a test image obtained through an image reading process performed on an output sheet output by an image forming apparatus. The processor creates an image to be processed including a horizontal line, extending in a horizontal direction, extracted from the test image. Furthermore, the processor determines the presence or absence of at least one periodicity set in advance in a vertical direction in the image to be processed and determines the cause of the horizontal line according to the determination result on the periodicity.
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公开(公告)号：US11715192B2
公开(公告)日：2023-08-01
申请号：US17558461
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Kanako Morimoto , Kazunori Tanaka , Koji Sato , Takuya Miyamoto , Rui Hamabe
CPC classification number: G06T7/0004 , G06K15/027 , G06K15/14 , G06T7/13 , G06T7/90 , G06V10/225 , G06T2207/10024 , G06T2207/30144
Abstract: A processor identifies an original drawing part that is originally drawn in a test image. Furthermore, the processor identifies a noise point in the test image. Furthermore, the processor determines which of predetermined two types of cause candidates is a cause of the noise point by determining a degree of overlapping between the original drawing part and the noise point. The two types of cause candidates are: waste toner dropping in which waste toner that has adhered to a transfer body that transfers a toner image to a sheet, is transferred to the sheet in the image forming device; and carrier developing in which magnetic carrier that has been mixed with toner is transferred to a sheet.
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公开(公告)号：US11709899B2
公开(公告)日：2023-07-25
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: G06F16/00 , G06F16/93 , G06F16/9038 , G06F16/9035
CPC classification number: 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.
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