Dental Shade Matching System Using Digital Image Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Accurate shade matching of dental restorations to natural teeth is challenging due to differences in optical properties between teeth and restorative materials, leading to subjective and inaccurate visual comparisons using traditional methods.
Innovation Solution
A computer-based system that processes digital images using a combination of black, white, and gray points, along with tooth-like references, to provide enhanced color correction, reveal translucency values, and allow for the creation of shade maps, enabling more accurate and informative representations for technicians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional visual comparison using shade tabs is used, then the process is simple and quick, but the accuracy and reliability of shade matching deteriorates due to subjective errors and optical property differences
Solution Approach 1:
The patent replaces the mechanical/visual manual shade tab comparison system with a digital image processing system that uses computer algorithms to analyze tooth images and determine shade characteristics. This substitution eliminates subjective human error while providing objective, quantifiable measurements of tooth shade, translucency, and other optical properties.
Solution Approach 2:
The patent introduces digital photography and image processing software as an intermediary between the tooth and the technician's visual assessment. The system captures digital images of the tooth, processes them through algorithms that account for different optical properties, and produces enhanced images that reveal shade information more accurately than direct visual comparison.
2Measurement precision
If digital photograph color correction is applied, then color accuracy is improved, but the representation of translucency and other optical properties is lost
Solution Approach 1:
The patent applies different processing techniques to different aspects of the tooth image. The color correction algorithms process the chromatic information (hue and chroma) separately from the luminance information (value and translucency). This allows the system to enhance color accuracy while preserving and even emphasizing translucency characteristics through specialized image enhancement routines.
Solution Approach 2:
The patent transforms the two-dimensional color information into multiple dimensions by extracting separate measurements for hue, chroma, value, and translucency. The system creates multi-layered image representations that display different optical properties in different visual layers, allowing technicians to assess all parameters simultaneously without information loss.
3Loss of information
If multiple reference points and tooth-like references are used for color correction, then the information revealed about tooth shade is improved, but the complexity of the correction process increases
Solution Approach 1:
The patent incorporates tooth-like references (shade tabs with known optical properties) into the image capture process itself, placing them alongside the tooth before photography. This preliminary placement allows the image processing software to automatically use these references for calibration and correction, eliminating the need for complex post-capture adjustment procedures.
Solution Approach 2:
The patent designs the color correction system to handle multiple types of references (black, white, gray points and tooth-like shade tabs) through a single unified algorithm. This multi-functional approach allows the same software routine to process all reference types and apply appropriate corrections, reducing overall system complexity despite the multiple reference elements.
4Reliability
If traditional shade tab comparison is used, then the process is straightforward, but opportunities for inaccuracies increase due to eye fatigue and lighting conditions
Solution Approach 1:
The patent enables the digital image processing system to automatically correct its own images by using incorporated reference standards (shade tabs and color points) as self-calibrating elements. The software autonomously performs color correction, translucency enhancement, and shade determination without requiring manual intervention or adjustment by the technician, ensuring consistent results regardless of operator fatigue or lighting variations.
Data Source
AI summary
A system for the color matching of dental restorations with teeth using a high degree of color correction followed by a display of maps showing the distribution of shades and values over the face of a tooth. The system can further utilize filters to output shade maps consisting of a predetermined number of shades and allow a technician to perform a virtual try in of the restoration in the patient's mouth.