Quanta Computer Incorporated

Hao-Ping Lee

Kai-Ju Cheng

Chin-Yuan Ting

Yu-Hsun Chen

Hsin-Lun Hsieh

Kuan-Chung Chen

Shao-Ang Chen

Tsung-Hsin Lu

Chih-Wei Sung

Yu-Cheng Chien

Jia-Chyi Wang

Tong-Ming Hsu

Chung-Sheng Wu

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.

Device and method for distinguishing dental plaque from dental calculus

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.

Tooth-position recognition system

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.

Image processing method and device for fluorescence reaction region of teeth

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.

Image-processing methods for marking plaque fluorescent reaction area and systems therefor

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Taoyuan, Taiwan

Hao-Ping Lee