Algae classified detection system through video images

Abstract

The invention provides an algae classified detection system through video images, comprising a flow cell, a piston, a microscope objective lens, a light source, a camera and an image analyzing and processing unit. The piston and the microscope objective lens are arranged at the upper and lower sides of the flow cell respectively; the piston is embedded into one side wall of the flow cell and can slide relative to the flow cell; the light source is arranged on one side or both sides of the flow cell; the microscope objective lens is connected with the camera; and the camera is connected with the image analyzing and processing unit. The algae classified detection system through video images utilizes automatic classification and density calculation based on image analysis to replace the traditional naked-eye distinguishing technique, thereby greatly reducing the workload of algae detection and shortening the detection time; in addition, by adopting a static shooting method, the inventionimproves the image quality, reaches the level of computer analysis, automatically carries out classification according to forms to guarantee the fully automatic sampling of the system, automatically shoots, automatically analyzes and counts images, automatically calculates the volume of a water sample, and automatically achieves the algae density calculation finally.

Description

technical field [0001] The invention relates to a detection system, in particular to a video image algae classification detection system used in environmental protection, tap water and water conservancy industries to detect and evaluate algae hazards in water bodies. Background technique [0002] Monitoring the condition of algae in water is an important part of monitoring water quality at this stage. In order to better and more effectively monitor the condition of algae, the industry has also carried out many technological changes. [0003] One of the existing methods is the method of flow dynamic image detection, but this method takes pictures while flowing, the image quality is affected, and the accuracy of image analysis is relatively low. Therefore, although this technology exists, it is mainly used to classify cells according to their size, which cannot meet the requirements of classification based on morphology, and the application requirements are not high. [0004]...

AI Technical Summary

Problems solved by technology

Existing technologies cannot automatically detect the volume of water samples, or do not have an automatic sampling device to automatically detect the density of algae

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