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Hair follicle identification and extraction method and system based on neural network model

A neural network model and extraction method technology, applied in the field of hair follicle identification and extraction methods and systems based on neural network models, to achieve simple and efficient identification and extraction schemes, accurate identification and extraction.

Pending Publication Date: 2021-11-09
SHANTOU UNIV +1
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Problems solved by technology

[0004] The purpose of the present invention is to provide a hair follicle identification and extraction method and system based on a neural network model to solve one or more technical problems in the prior art, and at least provide a beneficial choice or create conditions

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  • Hair follicle identification and extraction method and system based on neural network model
  • Hair follicle identification and extraction method and system based on neural network model
  • Hair follicle identification and extraction method and system based on neural network model

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[0036] The concept, specific structure and technical effects of the present application will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present application. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0037] refer to Figure 1 to Figure 4 ,Such as figure 1 Shown is a method for identifying and extracting hair follicles based on a neural network model provided by the embodiment of the present application, and the method includes the following steps:

[0038] Step S100, acquiring a first data set, the first data set includes a plurality of first hair follicle images, and each of the first hair follicle images is obtained by image acquisition of different hair follicle donor sites;

[0039] Step S200, using the pre-established hair follicle recog...

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Abstract

The invention relates to the technical field of image information processing, in particular to a hair follicle recognition and extraction method and system based on a neural network model, and the method comprises the steps: obtaining a first data set; identifying hair follicles in the first hair follicle image by adopting a pre-established hair follicle identification model so as to mark hair follicle units in the first hair follicle image in real time; determining hair follicle features of the first hair follicle image according to a hair follicle unit of a marking frame in the first hair follicle image; determining a target hair follicle supply area according to the target hair follicle characteristics; carrying out point cloud reconstruction on the target hair follicle donor region to extract feature information of the target hair follicle donor region, wherein the feature information comprises coordinates and attitude information of a hair follicle unit center point; and extracting the hair follicles from the target hair follicle supply area according to the feature information of the target hair follicle supply area. According to the method and the system, the hair follicles can be rapidly and accurately identified and extracted in a full-automatic manner.

Description

technical field [0001] The invention relates to the technical field of image information processing, in particular to a hair follicle identification and extraction method and system based on a neural network model. Background technique [0002] Traditional hair follicle extraction is completed by a number of assistant physicians and experienced doctors. Before extracting hair follicles, it is necessary to screen the target hair area. If manual screening is used, it will consume a lot of manpower and time; Influenced by factors such as subjective experience, the efficiency is often low, and the accuracy of extraction is not guaranteed. [0003] Therefore, it is necessary to improve the existing hair follicle identification and extraction methods, and develop a simple and efficient identification, positioning and extraction scheme, which can quickly and accurately identify and extract hair follicles in the donor area. Contents of the invention [0004] The purpose of the pr...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214Y02A90/10
Inventor 宁为博朱家祺范衠陈少克黄铿林常敏陈胜徐千睿黄华兴董朝晖刘梓鹏陈莹莹陈伟龙陈立波吴炎锋倪娜陈岳峰陈龙川谢宏浩陈宪宏
Owner SHANTOU UNIV
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