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A Method for Predicting Tooth Color Selection Based on Linear Regression

A linear regression, tooth technology, applied in the field of oral prosthodontics, can solve problems such as tooth color estimation error

Active Publication Date: 2017-09-22
福建医科大学附属口腔医院
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Problems solved by technology

In the process of color comparison, the accuracy of the results is affected by many factors. If we can propose an evaluation method that avoids the above-mentioned subjective factors and can refer to the tooth color characteristics of the contralateral tooth with the same name or adjacent teeth, It will be able to effectively solve the error problem of tooth color estimation

Method used

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  • A Method for Predicting Tooth Color Selection Based on Linear Regression
  • A Method for Predicting Tooth Color Selection Based on Linear Regression
  • A Method for Predicting Tooth Color Selection Based on Linear Regression

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0045] like Figure 1~2 As shown, the present embodiment provides a linear regression-based tooth color selection method, including the following steps:

[0046]Step S1: Taking the tooth color value of the tester as the object, determine the eigenvector that affects the tooth color value of each tooth of all testers, and use matrix X to represent the eigenvalues ​​that affect the tooth color value of each tooth of all testers, matrix X Expressed as:

[0047] ;

[0048] in, is the eigenvector of the i-th tooth affecting all testers, m is the number of tests for each tester's teeth, ,in, Indicates the k1th eigenvalue of the i-th tooth, n1 is the characteristic number; i, k1, and n1 are all positive integers;

[0049] Step S2: Determine the linear regression coefficient vector of each tester, the dimension of the linear regression coeff...

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Abstract

The invention relates to a tooth color assessment method based on linear regression. The tooth color assessment method includes initializing characteristic values of tooth positions and regression coefficients of the testers, and establishing an initial cost function J; performing iteration through the gradient descent algorithm, automatically adjusting the characteristic values x and the regression coefficients , manually controlling iteration times and further adjusting error range of the cost function to meet reasonable expectation, so that the optimal characteristic value x and the regression coefficient are obtained; substituting the optimal characteristic value x and the regression coefficient in a regress function model to obtain the lost tooth color value of the ith tooth of the jth tester. The tooth color assessment method has the advantages that the machine learning theory is applied to the real life, and the comprehensive and effective tooth color assessment method is achieved, high in robustness and applied to the oral medicine field.

Description

technical field [0001] The invention relates to the field of oral restoration, in particular to a linear regression-based estimation method for tooth color selection. Background technique [0002] In the field of oral restoration, a good restoration should not only restore the function of the missing tooth, but also restore the aesthetic appearance of the missing tooth to the greatest extent. The color of the restoration is consistent with the remaining natural teeth in the mouth, which is an important evaluation criterion for the success of the restoration. Aesthetic restoration is one of the fastest-growing fields in modern stomatology, and the color accuracy of the restoration is the most critical factor affecting the aesthetic appearance. [0003] At present, instrument colorimetry and visual colorimetry are two commonly used colorimetric methods in the field of dental restoration. Visual colorimetry is the most frequently used method, but this method has a certain deg...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 于皓程辉张栋林明宝张长源
Owner 福建医科大学附属口腔医院
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