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公开(公告)号：US11520267B2
公开(公告)日：2022-12-06
申请号：US17558505
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Takuya Miyamoto , Kazunori Tanaka , Kanako Morimoto , Koji Sato , Rui Hamabe
IPC: G03G15/00
Abstract: A processor generates an extraction image by extracting, from a test image, a target specific part that is a horizontal stripe extending in a horizontal direction or a noise point. The processor derives a vertical data sequence from a target area in the extraction image and converts the vertical data sequence to primary conversion data of a frequency domain. The processor converts, to secondary conversion data of a space domain, correction data that is obtained by removing, from the primary conversion data, data of frequency bands other than a particular frequency band corresponding to a target specific part that was determined as having periodicities. The processor classifies the target specific parts into periodic specific part and non-periodic specific part by comparing positions of the target specific parts with a peak position in a waveform represented by the secondary conversion data.
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公开(公告)号：US20220210278A1
公开(公告)日：2022-06-30
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：US20220207705A1
公开(公告)日：2022-06-30
申请号：US17558496
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 derives a vertical data string that is composed of data about horizontal representative values serving as representative values of a plurality of pixel values in each line in a horizontal direction in the test image. Moreover, the processor determines the presence or absence of at least one periodicity set in advance in the vertical data string by performing frequency analysis on the vertical data string. Furthermore, the processor determines the occurrence or non-occurrence and the cause of periodic density unevenness serving as a type of the image defect according to the determination result on the periodicity.
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公开(公告)号：US20220207702A1
公开(公告)日：2022-06-30
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：US20220207694A1
公开(公告)日：2022-06-30
申请号：US17555871
申请日：2021-12-20
Applicant: KYOCERA Document Solutions Inc.
Inventor： Rui Hamabe , Kazunori Tanaka , Kanako Morimoto , Takuya Miyamoto , Koji Sato
IPC: G06T7/00
Abstract: An image processing apparatus includes an anomaly detecting unit, and an anomaly unification processing unit. The anomaly detecting unit is configured to detect anomalies included in a target image. The anomaly unification processing unit is configured to unify specific anomalies among the detected anomalies. Further, if a type of an anomaly among the detected anomalies is the same as a type of another anomaly among the detected anomalies, the anomaly unification processing unit (a) determines whether the anomaly and the other anomaly should be unified or not on the basis of a relationship between a position of the anomaly and a position of the other anomaly, and (b) unifies the anomaly and the other anomaly if it is determined that the anomaly and the other anomaly should be unified.
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Patent Agency Ranking
公开(公告)号：US20220206425A1
公开(公告)日：2022-06-30
申请号：US17558505
申请日：2021-12-21
Applicant: KYOCERA Document Solutions Inc.
Inventor： Takuya Miyamoto , Kazunori Tanaka , Kanako Morimoto , Koji Sato , Rui Hamabe
IPC: G03G15/00
Abstract: A processor generates an extraction image by extracting, from a test image, a target specific part that is a horizontal stripe extending in a horizontal direction or a noise point. The processor derives a vertical data sequence from a target area in the extraction image and converts the vertical data sequence to primary conversion data of a frequency domain. The processor converts, to secondary conversion data of a space domain, correction data that is obtained by removing, from the primary conversion data, data of frequency bands other than a particular frequency band corresponding to a target specific part that was determined as having periodicities. The processor classifies the target specific parts into periodic specific part and non-periodic specific part by comparing positions of the target specific parts with a peak position in a waveform represented by the secondary conversion data.
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公开(公告)号：US12182991B2
公开(公告)日：2024-12-31
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：US11756181B2
公开(公告)日：2023-09-12
申请号：US17558496
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 , G06T2207/10024 , G06T2207/30144
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 derives a vertical data string that is composed of data about horizontal representative values serving as representative values of a plurality of pixel values in each line in a horizontal direction in the test image. Moreover, the processor determines the presence or absence of at least one periodicity set in advance in the vertical data string by performing frequency analysis on the vertical data string. Furthermore, the processor determines the occurrence or non-occurrence and the cause of periodic density unevenness serving as a type of the image defect according to the determination result on the periodicity.
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公开(公告)号：US11483452B2
公开(公告)日：2022-10-25
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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公开(公告)号：US20220207704A1
公开(公告)日：2022-06-30
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
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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