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公开(公告)号:US11037317B2
公开(公告)日:2021-06-15
申请号:US16707234
申请日:2019-12-09
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Kuan-Chung Chen , Yu-Cheng Chien , Chung-Sheng Wu , Hao-Ping Lee , Chin-Yuan Ting , Yu-Hsun Chen , Shao-Ang Chen , Jia-Chyi Wang , Chih-Wei Sung
Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.
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2.
公开(公告)号:US10779735B2
公开(公告)日:2020-09-22
申请号:US16137585
申请日:2018-09-21
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Chin-Yuan Ting , Hsin-Lun Hsieh , Tsung-Hsin Lu , Yu-Hsun Chen , Hao-Ping Lee
Abstract: An image-processing method for marking plaque fluorescent reaction areas is provided, including: obtaining a first RGB image of a mouth region; obtaining a second RGB image of the mouth region; respectively converting the first RGB image and the second RGB image into a first HSV image and a second HSV image; obtaining a first average brightness value of the first HSV image and a second average brightness value of the second HSV image; normalizing the first average brightness value or the second average brightness value according the first average brightness value and the second average brightness value to obtain a normalized image; converting the normalized image into a third RGB image, and obtaining a plurality of pixel points of the dental plaque according to the third RGB image and the first RGB image or the second RGB image; and marking the pixel points in the third RGB image.
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公开(公告)号:US10799120B2
公开(公告)日:2020-10-13
申请号:US16217112
申请日:2018-12-12
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Chin-Yuan Ting , Hsin-Lun Hsieh , Tsung-Hsin Lu , Yu-Hsun Chen , Hao-Ping Lee
Abstract: An image processing method for a fluorescence reaction region of teeth. The image processing method includes emitting blue light from a light source to illuminate the teeth in a mouth, so that the teeth generate fluorescence; capturing a first teeth image of the teeth by an image capturing unit; separating the first teeth image into a first red-value image, a first green-value image, and a first blue-value image by a processing unit; transforming the first red-value image into a second red-value image by the processing unit using a pixel value transforming function; and combining the second red-value image, the first green-value image, and the first blue-value image into a second teeth image by the processing unit.
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4.
公开(公告)号:US20200022582A1
公开(公告)日:2020-01-23
申请号:US16137585
申请日:2018-09-21
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Chin-Yuan Ting , Hsin-Lun Hsieh , Tsung-Hsin Lu , Yu-Hsun Chen , Hao-Ping Lee
Abstract: An image-processing method for marking plaque fluorescent reaction areas is provided, including: obtaining a first RGB image of a mouth region; obtaining a second RGB image of the mouth region; respectively converting the first RGB image and the second RGB image into a first HSV image and a second HSV image; obtaining a first average brightness value of the first HSV image and a second average brightness value of the second HSV image; normalizing the first average brightness value or the second average brightness value according the first average brightness value and the second average brightness value to obtain a normalized image; converting the normalized image into a third RGB image, and obtaining a plurality of pixel points of the dental plaque according to the third RGB image and the first RGB image or the second RGB image; and marking the pixel points in the third RGB image.
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