公开(公告)号：US20230298316A1

公开(公告)日：2023-09-21

申请号：US17847739

申请日：2022-06-23

Applicant: Quanta Computer Inc.

Inventor： Chia-Yuan CHANG ,  Kai-Ju CHENG ,  Yu-Hsun CHEN ,  Hao-Ping LEE ,  Tong-Ming HSU ,  Chin-Yuan TING ,  Shao-Ang CHEN ,  Kuan-Chung CHEN

IPC: G06V10/764 ,  G06V10/40 ,  G06V10/74 ,  G06V10/762

CPC classification number: G06V10/764 ,  G06V10/40 ,  G06V10/761 ,  G06V10/762

Abstract: An image classifying device is provided in the invention. The image classifying device includes a storage device, a calculation circuit and a classifying circuit. The storage device stores information corresponding to a plurality of image classes. The calculation circuit obtains a target image from an image extracting device and obtains the feature vector of the target image. The calculation circuit obtains a first estimation result corresponding to the target image based on the information corresponding to the plurality of image classes and the feature vector and obtains a second estimation result corresponding to the target image based on a reference image, wherein the reference image corresponds to one of the image classes. The classifying circuit adds the target image into one of the image classes based on the first estimation result and the second estimation result.

公开(公告)号：US20200069188A1

公开(公告)日：2020-03-05

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

IPC: A61B5/00 ,  G06T11/00 ,  A61B1/24 ,  A61B1/04 ,  A61B1/06

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.

公开(公告)号：US20230301751A1

公开(公告)日：2023-09-28

申请号：US17817409

申请日：2022-08-04

Applicant: Quanta Computer Inc.

Inventor： Kai-Ju CHENG ,  Yu-Hsun CHEN ,  Hao-Ping LEE ,  Tong-Ming HSU ,  Chin-Yuan TING ,  Shao-Ang CHEN ,  Kuan-Chung CHEN ,  Hsin-Lun HSIEH

IPC: A61C7/00 ,  A61C19/04

CPC classification number: A61C7/002 ,  A61C19/04

Abstract: A distinguishing device for dental plaque and dental calculus includes a light-emitting diode, an image sensing unit, and a processor. The light-emitting diode movies in a first direction and is separated from teeth in an oral cavity by a predetermined distance in a second direction. The second direction is perpendicular to the first direction. The light-emitting diode generates a blue light to illuminate the teeth, so that dental plaque on the teeth generates a first autofluorescence and dental calculus on the teeth generates a second autofluorescence. The image sensing unit is configured to sense the first autofluorescence and the second autofluorescence. The processor is coupled to the image sensing unit to distinguish a dental plaque area from a dental calculus area on the teeth according to the first autofluorescence and the second autofluorescence.

公开(公告)号：US20210074011A1

公开(公告)日：2021-03-11

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

IPC: G06T7/593 ,  G06T7/00 ,  G06T7/73

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.