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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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公开(公告)号:US11630409B2
公开(公告)日:2023-04-18
申请号:US17558338
申请日:2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor: Kazunori Tanaka , Kanako Morimoto , Takuya Miyamoto , Koji Sato , Rui Hamabe
IPC: G03G15/00
Abstract: A processor selects a target sheet from a plurality of predetermined sheet candidates in accordance with selection information that is input via an input device. Furthermore, the processor derives feature information regarding a noise point from a target image that is obtained through an image reading process performed on an output sheet output from an image forming device, the noise point being a dot-like noise image included in the target image. Furthermore, the processor determines whether or not the noise point is a dot-like sheet noise by applying the feature information to a determination algorithm that corresponds to the target sheet, the sheet noise being included in a sheet of the output sheet itself, the determination algorithm being one of a plurality of determination algorithms that respectively correspond to the plurality of sheet candidates.
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公开(公告)号:US11463592B2
公开(公告)日:2022-10-04
申请号:US17555928
申请日:2021-12-20
Applicant: KYOCERA Document Solutions Inc.
Inventor: Rui Hamabe , Kazunori Tanaka , Kanako Morimoto , Takuya Miyamoto , Koji Sato
IPC: H04N1/00
Abstract: An image processing apparatus includes an anomaly detecting unit configured to detect anomalies included in a target image; and an anomaly exclusion processing unit configured to exclude a specific anomaly among the detected anomalies. Further, the anomaly exclusion processing unit excludes one of an anomaly and another anomaly among the detected anomalies, if (a) a detection area of the anomaly, a detection area of the other anomaly, and an overlapping area of the detection areas of the anomaly and the other anomaly satisfy a predetermined condition and (b) a type of the anomaly and a type of the other anomaly are different from each other.
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公开(公告)号:US20220206424A1
公开(公告)日:2022-06-30
申请号:US17558338
申请日:2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor: Kazunori Tanaka , Kanako Morimoto , Takuya Miyamoto , Koji Sato , Rui Hamabe
IPC: G03G15/00
Abstract: A processor selects a target sheet from a plurality of predetermined sheet candidates in accordance with selection information that is input via an input device. Furthermore, the processor derives feature information regarding a noise point from a target image that is obtained through an image reading process performed on an output sheet output from an image forming device, the noise point being a dot-like noise image included in the target image. Furthermore, the processor determines whether or not the noise point is a dot-like sheet noise by applying the feature information to a determination algorithm that corresponds to the target sheet, the sheet noise being included in a sheet of the output sheet itself, the determination algorithm being one of a plurality of determination algorithms that respectively correspond to the plurality of sheet candidates.
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