System and method for intelligent water treatment micro-organism machine vision identification

Abstract

The invention provides an intelligent water-treatment microorganism machine vision identification system and a method. By using artificial intelligent technology, the system and the method can real-timely shoot microscopic images of microorganism in water and carry out the steps of automatic image pre-treatment, image segmentation, microorganism characteristic parameter extraction and selection, and microorganism classification and identification. The system and the method have the advantages that optimal segmentation threshold value can be searched automatically in HIS color space by using self-adaptive image segmentation algorithm; and the classifier is designed in a voting manner to obviate the low classification accuracy by using single classifier so as to effectively improve the entire classification accuracy and accurately identify microorganisms in drinking water and urban domestic sewage. The implementation of the method can further shorten the microorganism detection period in the water treatment process and accurately predict the condition of the water-treatment microorganisms to allow the operators to take measures in time. Accordingly, the method and the system can powerfully ensure the safety of drinking water and the normal operation of urban domestic sewage treatment facility so as to achieve considerable economic and social benefits.

Description

technical field [0001] The invention relates to an intelligent water treatment microorganism machine vision identification system and method, belonging to the technical field of computer biomedical engineering applications. Background technique [0002] In the field of drinking water treatment, the Chinese government has always been very concerned about and attaches great importance to drinking water hygiene and safety assurance, and has issued and revised drinking water hygiene standards many times. Domestic drinking water is directly supplied to residents by centralized water supply units as water for human drinking and domestic use. The quality of this water must ensure the drinking safety of residents. According to the World Health Organization (WorldHealth Organization) survey, more than 80% of human diseases and more than 50% of child deaths are related to poor drinking water quality. The quality of water directly affects people's health. Ideal drinking water should ...

AI Technical Summary

Problems solved by technology

In tap water treatment, it can provide a scientific basis for whether the water quality is up to standard, and overcome the shortcomings of the original manual optical microscope inspection, which is labor-intensive, takes too long, and cannot compare various pathogenic microorganisms one by one; in the microbial treatment of urban domestic sewage, it can provide Correct command of the

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