System and method for determining an oral health condition
AssigneeColgate-Palmolive Company
InventorHongbing Li
Life of this patent
Estimating the term…
Abstract
A system for determining an oral care condition within an oral cavity. The system may include an intraoral device which has a light source for emitting light within the oral cavity and a camera to capture an image of at least one tooth and adjacent gums. The system may include one or more processors configured to: receive the image of the at least one tooth and adjacent gums, differentiate the at least one tooth and the adjacent gums adjacent as a tooth segment and a gums segment, input the gums segment into a machine learning model, and determine, via the machine learning model, the oral care condition based on the gums segment input into the machine learning model.
Claims20
A system for determining an oral care condition within an oral cavity, the system comprising:
- an intraoral device comprising:
- a light source configured to emit light within the oral cavity;
- and
- a camera configured to capture an image of at least one tooth and gums adjacent the at least one tooth within the oral cavity;
- and
- one or more processors configured to:
- receive the image of the at least one tooth and gums adjacent the at least one tooth;
- convert the image from an RGB color space to a YCrCb color space;
- differentiate the at least one tooth and the gums adjacent the at least one tooth as a tooth segment and a gums segment, wherein differentiating comprises obtaining the gums segment by performing gum image thresholding in the YCrCb color space based on a predetermined YCrCb color range associated with gum regions, and performing at least one of post-outlier removal or a region-joining operation;
- input the gums segment into a machine learning model;
- and
- determine, via the machine learning model, the oral care condition based on the gums segment input into the machine learning model.
A method for determining an oral care condition within an oral cavity, the method comprising:
- emitting light within the oral cavity via a light source operably coupled to an intraoral device;
- capturing an image of at least one tooth and gums adjacent the at least one tooth within the oral cavity via a camera operably coupled to the intraoral device;
- receiving the image of the at least one tooth and gums adjacent the at least one tooth within the oral cavity;
- converting the image from an RGB color space to a YCrCb color space;
- differentiating the at least one tooth and the gums adjacent to the at least one tooth as a tooth segment and a gums segment, wherein differentiating comprises obtaining the gums segment by performing gum image thresholding in the YCrCb color space based at least in part on a YCrCb color range associated with gum regions;
- inputting the gums segment into a machine learning model;
- and
- determining, via the machine learning model, the oral care condition based on the gums segment input into the machine learning model.
Dependencies are inferred from the claim text.