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Tooth color value judgment method and system based on deep learning

A deep learning and color value technology, applied in the computer field, can solve the problems of inconsistent judgment standards and easy deviations, and achieve the effect of reducing labor and material costs, avoiding deviations in results, and speeding up

Active Publication Date: 2019-10-18
ZHONGAN INFORMATION TECH SERVICES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This process is relatively common in the fields of oral diagnosis and tooth plastic whitening. It usually requires the subject to be tested face-to-face by a professional, and must hold a color comparison mold for close-range color comparison. In the detection environment, it can only be completed by professionals with certain experience in cooperation with colorimetric molds, and the color value judgment results are prone to deviation due to individual factors, and the judgment standards are not uniform

Method used

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  • Tooth color value judgment method and system based on deep learning
  • Tooth color value judgment method and system based on deep learning

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Embodiment 1

[0061] This embodiment provides a tooth color value judgment method based on deep learning, which belongs to the field of computer technology and is applicable to business scenarios such as oral diagnosis, tooth shaping and whitening.

[0062] figure 1 A flow chart of a tooth color value judgment method based on deep learning provided in Embodiment 1, as shown in figure 1 As shown, the method at least includes the following steps:

[0063] S1. Using a pre-trained tooth region detection model, perform tooth region detection on the input tooth image to be recognized, and obtain several tooth region coordinates and the confidence of the corresponding tooth region.

[0064] Wherein, the input tooth image to be recognized refers to the tooth image to be recognized sent by any client. The client is one of mobile devices or PCs, and the image to be recognized is any image including teeth stored on the client, usually a photo of teeth taken by a mobile phone.

[0065] After an imag...

Embodiment 2

[0115] In order to implement the tooth color value judgment method based on deep learning in the first embodiment above, this embodiment provides a tooth color value judgment system based on deep learning.

[0116] figure 2 It is a schematic structural diagram of a tooth color value judgment system based on deep learning provided by Embodiment 2 of the present invention. Such as figure 2 As shown, the tooth color value judging system 100 based on deep learning at least includes:

[0117] Tooth region detection module 1: used to perform tooth region detection on the input tooth image to be recognized through the pre-trained tooth region detection model, and obtain several tooth region coordinates and the confidence of the corresponding tooth region:

[0118] Tooth area update module 2: used to update the tooth area coordinates based on the confidence of the tooth area, and obtain the first tooth area map;

[0119] The first preprocessing module 3: for preprocessing the fir...

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Abstract

The invention discloses a tooth color value judgment method and system based on deep learning, and the method at least comprises the steps: carrying out the tooth region detection of an inputted to-be-recognized tooth image through a tooth region detection model, and obtaining a plurality of tooth region coordinates and confidence coefficients; updating the tooth region coordinates based on the confidence coefficient to obtain a first tooth region graph; preprocessing the first tooth region map based on the updated tooth region coordinates to obtain a second tooth region map; dividing the second tooth region map into a tooth region and a non-tooth region through region clustering, and setting the non-tooth region to be in a specified color to obtain a third tooth region map; and performingchromaticity prediction on the third tooth region map through a tooth chromaticity judgment model to obtain a tooth chromaticity prediction value, and mapping the tooth chromaticity prediction valueinto a colorimetric card to obtain a color value of the tooth.A user can send a shot picture containing a tooth image to the tooth color value judgment system through a mobile phone of the user, and the judgment result of the tooth color value is obtained.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and system for judging tooth color values ​​based on deep learning. Background technique [0002] Tooth color comparison is to compare the specific tooth color mold (Shade Guide) with the real tooth to obtain the color value of the tooth. This process is relatively common in the fields of oral diagnosis and tooth plastic whitening. It usually requires the subject to be tested face-to-face by a professional, and must hold a color comparison mold for close-range color comparison. In the detection environment, it can only be completed by professionals with certain experience in cooperation with color comparison molds, and the judgment results of color values ​​are prone to deviation due to individual factors, and the judgment standards are not uniform. Contents of the invention [0003] In order to solve the above technical problems, the present invention provi...

Claims

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Application Information

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IPC IPC(8): G06T7/90G06T5/00
CPCG06T7/90G06T2207/30036G06T5/92
Inventor 谢畅彭宇翔钱浩然王恒
Owner ZHONGAN INFORMATION TECH SERVICES CO LTD
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