A skin hyperspectral image acquisition unit and calibration method

Abstract

The invention relates to the field of skin high-spectral image acquisition and processing, in particular to a skin high-spectral image acquisition unit and a calibration method. The unit comprises a power supply, a light source assembly, a high-spectral camera and an optical shielding case. An acquisition hole is arranged in the optical shielding case. The light source assembly and the high-spectral camera are arranged in the optical shielding case. A skin acquisition region passes the acquisition hole, is subjected to the irradiation of the light source assembly and is shot by the high-spectral camera, so a skin high-spectral image is acquired. The power supply unit is connected with and provides power for the light source assembly. The unit also comprises a standard object assembly. Thus, calibration of the acquired skin spectral image in the plane dimension and spectrum dimension is achieved. According to the invention, through the de-noising design, system accuracy is improved; consistency of acquired spectrum data in an acquisition plane, of each acquisition and between different devices is ensured and a consistency problem is solved; and uniform illumination in the customized fixed area of (30mm*25mm) of the acquisition hole is ensured, and the system has the ability of morphological analysis.

Description

technical field [0001] The invention relates to the field of skin hyperspectral image acquisition and processing, in particular to a skin hyperspectral image acquisition unit and a calibration method. Background technique [0002] The "Skin Spectrum Prediction" model proposes a mathematical method to virtualize the skin spectrum from the combination of several material components with different contents. Based on this model, the visual effect of the skin can be rendered, here we call it a positive relationship. The "skin hyperspectral quantitative analysis" is the reverse process of "skin spectrum prediction", that is, the biological component content of the skin is calculated from the measured spectrum of human skin. Obviously, the reverse process is an iterative optimization problem of the forward relationship, which needs to solve the precise modeling and massive computing technology in the applicable scene. For quantitative analysis medical devices, the key indicators ...

AI Technical Summary

Problems solved by technology

Hyperspectral image technology can meet the needs of large-area analysis, but for the basic signal of quantitative analysis, it is necessary to solve the problem of uniform measurement and uniformity

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