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
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[0060] Example one
[0061] This embodiment provides a method for judging tooth color values based on deep learning, which belongs to the field of computer technology and is suitable for business scenarios such as oral diagnosis, tooth plastic surgery and whitening.
[0062] figure 1 This embodiment 1 provides a flow chart of a method for judging tooth color values based on deep learning, such as figure 1 As shown, the method includes at least the following steps:
[0063] S1. Perform tooth region detection on the input tooth image to be identified through a pre-trained tooth region detection model, and obtain a number of tooth region coordinates and the confidence of the corresponding tooth region.
[0064] Among them, the input tooth image to be identified refers to the tooth image to be identified sent by any client. The client is one of a mobile device or a PC, and the image to be recognized is any image including teeth stored on the client, usually a photo of a tooth taken by...
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[0114] Example two
[0115] In order to implement the method for judging tooth color values based on deep learning in the first embodiment, this embodiment provides a system for judging tooth color values based on deep learning.
[0116] figure 2 This is a schematic structural diagram of a system for judging tooth color values based on deep learning according to the second embodiment of the present invention. Such as figure 2 As shown, the tooth color value judgment system 100 based on deep learning at least includes:
[0117] Tooth region detection module 1: It is used to detect the tooth region of 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 region update module 2: used to update the tooth region coordinates based on the confidence of the tooth region to obtain the first tooth region map;
[0119] The first preproce...
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