An automatic detection system for the quality of traditional Chinese medicine

Abstract

The invention discloses an automatic detection system for the quality of traditional Chinese medicine, which collects the original image of traditional Chinese medicine, segments the outline of the target area, performs image denoising, corresponds the neural network PCNN to the image, and corresponds the central neuron to the pixel points of the image, respectively Brighten a single multi-wavelength LED lamp, select several LEDs that can stimulate significant fluorescent signals to light up in turn, collect the fluorescence spectrum of the Chinese medicine sample at 300nm‑1100nm, extract the one-dimensional time series signal characteristics of each two-dimensional image and store the characteristic information, and extract the traditional Chinese medicine The spatial characteristics of microscopic images are used to detect the quality of traditional Chinese medicines. The invention uses electronic technology to comprehensively evaluate the external parameters of traditional Chinese medicine, and automatically detects its inherent quality in combination with the parameters of chemical composition content, safety detection parameters and conventional detection parameters of traditional Chinese medicine. The detection standards are objective and unified, which is beneficial to accurate dispensing.

Description

technical field [0001] The invention belongs to the technical field of pharmacy, and in particular relates to an automatic detection system for the quality of traditional Chinese medicines. Background technique [0002] With the development of science and technology, electronic vision, electronic nose and electronic tongue have appeared, and have been more and more widely used in agricultural products, food testing and environmental monitoring. The so-called electronic vision is to use the image sensor to obtain the image information of the object, and then convert it into a digital signal, which is recognized and analyzed by the computer. file, quality grading, and even freshness and maturity testing of meat, citrus, and poultry eggs. The electronic nose simulates the human olfactory organ, converts the odor signal into an electronic signal, and then recognizes and analyzes it by a computer. It has been used to classify the quality and freshness of tea, tobacco, fish, meat...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide an automatic detection system for the quality of traditional Chinese medicine, which aims to solve the problems of low intelligence and high cost of existing traditional Chinese medicine quality detection methods

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