Traditional Chinese medicinal material microscopic image noise filtering system and method adopting pulse coupling neural network

Abstract

The invention discloses a traditional Chinese medicinal material microscopic image noise filtering system and method adopting a pulse coupling neural network. A pulse coupling neural network model suitable for processing tissue image information is adopted for detecting traditional Chinese medicinal material microscopic images. When small-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, adaptive weighted filtering processing is carried out; when large-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, the introduction dual-structure element mathematical morphology with edge detailed information kept is adopted for secondary filtering. Earlier foundations are laid for further improving quality testing, recognition and identification of traditional Chinese medicinal materials; higher noisy point detection performance is achieved, the noise fallout ratio and omission ratio are low, and the noise detection precision is high; detection time is short, and automatism is high; noise is removed, meanwhile, noise interference can be effectively filtered out, and image edge details and other information can be protected well.

Description

technical field [0001] The invention belongs to the technical field of microscopic image information processing of Chinese herbal medicines, and in particular relates to a pulse-coupled neural network microscopic image noise filtering system and method for Chinese medicinal materials. Background technique [0002] Since the degradation of the quality of Chinese medicinal materials and the market mixing of counterfeit and inferior products have affected the quality and clinical efficacy of Chinese medicinal materials, it is particularly important to identify, identify and control Chinese medicinal materials; It requires rich experience to identify the shape, color and microscopic texture of medicinal plants with naked eyes, but due to limited experience, image recognition is difficult and the recognition error rate is high; modern physical and chemical identification requires the use of special analytical instruments, which makes management and operation complicated ; Therefo...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a pulse-coupled neural network microscopic image noise filtering system and method for Chinese medicinal materials, aiming to solve the disadvantages of the microscopic image noise filtering of Chinese medicinal materials that are not conducive to automatic noise detection, poor self-adaptability, and noise removal. There is a problem with the filtering performance

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