Photon transmission simulation-based apple hyperspectral quality detection method

Abstract

The invention discloses a photon transmission simulation-based apple hyperspectral quality detection method. According to the method, a photon incidence optimal position and a source detection distance are analyzed; and a point light source hyper-spectrograph is utilized to actually photograph a Hongfushi apple so as to realize verification. Analysis shows that photons have a probability of 73.12%to reach a deeper depth at the equatorial position of the apple; a source detection location is related to the optical parameters of the apple; the source detection location is ring-shaped; the source detection inner and outer diameter of the source detection location range from 1.5 mm to 10.15 mm; the incident location of the Hongfushi apple collected by the point light source hyper-spectrographis the equatorial position of the Hongfushi apple; the source detection location is a ring with a radius of 3.6 mm to 10.8 mm which is basically consistent with a simulation data analysis result; a Monte Carlo photon transmission simulation method provides a new idea for the study of hyperspectral apple quality non-destructive detection; and analysis results can provide a theoretical basis for the study of hyperspectral quality detection experimental design and apple portable quality detection optical instrument design.

Description

technical field [0001] The invention relates to the detection field, in particular to an apple hyperspectral quality detection method based on photon transmission simulation. Background technique [0002] China is rich in apple resources, and its annual output accounts for 1 / 3 of the world's total, ranking first in the world. Hyperspectral imagery is an advanced technology that combines two-dimensional image technology and spectral technology. The image reflects the external characteristics of the fruit, and the spectrum detects the physical structure and chemical composition of the fruit. The tissue structure, physical characteristics and chemical composition determine the quality of the fruit. optical parameters. Many scholars have studied the possibility of using hyperspectral or near-infrared spectroscopy to detect fruit quality, maturity and other indicators. By improving the experimental process and data processing model, better detection results have been obtained. ...

AI Technical Summary

Problems solved by technology

[0004] The following problems exist in the actual measurement of the spectrometer: 1. The quality of the spectral image collected by the hyperspectrometer is affected by the operation of the collector and the collection environment. The position of the light source and the probe is fixed, which affects the quality of the collected data.

2. Ordinary spectrum cameras are bulky and not easy to carry, and the detection accuracy of portable spectrometers is limited

3. The number of apple samples used in the experiment is insufficient, and the single variety will lead to incomplete coverage of the analysis data, and the established model is not universal

4. The actual measurement process consumes a lot of manpower and material resources

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