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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：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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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：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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Patent Agency Ranking
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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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：US12169956B2
公开(公告)日：2024-12-17
申请号：US17563355
申请日：2021-12-28
Applicant: KYOCERA Document Solutions Inc.
Inventor： Takuya Miyamoto , Kazunori Tanaka , Kanako Morimoto , Rui Hamabe , Naomichi Higashiyama
IPC: G06V10/77 , G06N20/00 , G06V10/422
Abstract: An image recognition method includes a feature amount extracting step of generating, from an input image, a base feature map group including a plurality of base feature maps; an inferring step of deriving a plurality of inference results using each of a plurality of machine-learned inference devices for a plurality of inference inputs based on the base feature map group; and an integrating step of integrating the plurality of inference results by a specific manner to derive a final inference result, where each of the plurality of inference inputs has some or all base feature maps of the plurality of base feature maps, and each of the plurality of inference inputs has the some or all base feature maps that are different in part or whole from the some or all base feature maps of another inference input in the plurality of inference inputs.
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