Abstract: A system and method employing image analysis may provide an objective measure of the state of gingival tissue health. A region of analysis on an image of gingival tissue may be divided into pixels. Each pixel may have an associated color made up of component R, G and B values. A user may obtain an objective measurement of oral cavity soft tissue health by determining an objective measurement of the component color values of a gingival tissue image region and performing statistical analysis on the color values.

Abstract: A method and system employing image analysis may provide an objective measure of property values related to hard tissue or teeth in the oral cavity. A region of analysis on an image of hard tissue may be divided into pixels. Each pixel may have an associated color characteristic (e.g., R, G and B, multispectral) which is used to quantify a hard tissue property value of interest (e.g., percent plaque coverage, L*a*b* tooth color, percent stain). Hard Tissues Regions of Interest may be divided into indexed registration cells that allow for combining and/or comparing property values between images on a localized cell-by-cell basis. Results of cell-level property value analyses may be displayed by color-coding hard tissue pixels of a display image.

Abstract: The apparatus and method of the present invention provides a process that can be implemented by a human operator and a computing device to analyze and display human skin images. The system acquires a digital image from a camera or scanner. Subsequently, the system determines which area(s) of the image to analyze using landmarks such as the corner of the eye. The determined areas are then analyzed to locate skin defects such as red spots, and the defects are visually identified on a display. A severity is calculated for the defects and the severity is compared to an average skin severity associated with a population of people. In addition, a simulation is generated and displayed showing an improvement to the defect areas.