Hair follicle point identification method, system and device and storage medium

Abstract

The invention relates to a hair follicle point identification method, system and device and a storage medium. The hair follicle point identification method comprises the following steps: acquiring a first image, wherein the first image comprises a first image part corresponding to a to-be-extracted area of a hair follicle; based on the first image part, determining a first coordinate position of each to-be-extracted hair follicle in the to-be-extracted hair follicle region in a first image coordinate system; and performing path planning based on each first coordinate position to determine an extraction path for extracting each to-be-extracted hair follicle. Through the method, the hair follicle points can be completely and automatically identified, so that the hair transplanting efficiency is improved, and the requirements on the technology and experience of operators are reduced.

Description

technical field [0001] The present application relates to the field of feature identification, and more particularly to methods, systems, devices, and storage media for hair follicle point identification. Background technique [0002] With the acceleration of social rhythm and the increase of life pressure, there are more and more people with hair loss, and they are getting younger and younger. According to WHO statistics, today, on average, 1 in 5 people have hair loss problems, and in China, the number of people with hair loss has reached as many as 250 million. [0003] Hair transplant technology is one of the commonly used methods for dealing with hair loss. It was proposed by Norman Orentreich in 1959. The main method is to transfer the hair from the thick and tough part of the hair loss person (for example, the back of the head) through the hair follicle and transplant it into the hair follicle. Where there is thinning hair. At present, the traditional hair transplan...

AI Technical Summary

Problems solved by technology

This manual hair transplantation technique is highly dependent on the experience and technology of the hair transplant operator, and there are problems such as time-consuming, laborious, and low success rate.

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