Method for obtaining concentration of particles in air based on image processing

Abstract

The invention discloses a method for obtaining the concentration of particles in air based on image processing. The method for processing a collected image comprises the following steps: (1) determining the pixel values of relatively bright atmospheric light pixel points and relatively dark interest pixel points in the image; (2) according to the obtained pixel value of the atmospheric light pixel points and the determined pixel value of the interest pixel points, respectively calculating the light intensity values of corresponding pixel points; (3) according to the obtained light intensity values of the corresponding pixel points in the step (2), calculating a light intensity attenuation coefficient; (4) based on a Mie scattering theory, determining a relation function of an extinction coefficient and the average particle size of particles; (5) determining the concrete value of the average particle size of particles; (7) according to the relation function of the light intensity attenuation coefficient and the extinction coefficient and the average particle size of particles, calculating the concentration of particles. The method can be used for estimating the concentration of particles in air in a wide range with the low cost.

Description

【Technical field】 [0001] The invention relates to the field of computer vision, in particular to a method for obtaining the concentration of particulate matter in the air based on image processing. 【Background technique】 [0002] With the continuous development of industry and transportation, a large amount of harmful substances are discharged into the air, which changes the normal composition of the air and deteriorates the air quality. When people live in polluted air, not only normal life and travel will be greatly affected, but also human health will be greatly damaged. According to existing reports, the smog weather has caused serious pollution in many places in my country, which has brought extremely adverse effects on the production, life and health of the people. [0003] In order to reduce the damage of smog and provide information that is helpful for governance, a comprehensive air quality monitoring network must be established. At present, the more authoritative...

AI Technical Summary

Problems solved by technology

However, the current monitoring network still has many limitations

First of all, professional equipment such as vibrating balances and Beta ray meters are expensive and complicated to operate, which is not conducive to popularization

Secondly, the number of monitoring sites in a city is also limited, and the effective range of measurement at a single site is limited, so that the monitoring coverage of the entire city is extremely limited.

Many areas are far away from monitoring sites, and the air quality conditions are complex and changeable, making the data of the sites not useful for air quality monitoring in these areas

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