PM2.5 (Particulate Matter2.5) concentration detector based on definition evaluation without reference image

Abstract

The invention relates to a PM2.5 (Particulate Matter2.5) concentration detector based on definition evaluation without a reference image. The PM2.5 concentration detector mainly comprises an image definition evaluation unit, a laser ranging unit and a PM2.5 concentration display unit, wherein the image definition evaluation unit works as follows: images of target objects in different distances are shot by a camera, the images are converted into grayscale images, the grayscale images are segmented into 64*64 pixel blocks by adopting a no-reference-image definition evaluation method, the 64*64 pixel blocks are compared with the preset threshold value T equal to 0.2%, the edge blur detection probability P(BLUR) of the segmented edge pixel blocks is calculated, then the fuzzy cumulative probability CPBD value of the whole grayscale images is calculated, the fuzzy cumulative probability CPBD value is compared with the interval (minimum P-maximum P) of the CPBD threshold value P of the optimal visibility image and the CPBD value of the better image, and the target object to be detected is determined; the laser ranging unit is used for measuring the distance of the target object to be detected and determining the visibility distance value; the PM2.5 concentration display unit is used for calculating and displaying the PM2.5 concentration according to the relations of the scattering coefficient and the visibility as well as the scattering coefficient and the PM2.5 concentration.

Description

technical field [0001] The invention relates to the technical field of PM2.5 concentration detection, in particular to an image definition detection method and a visibility measurement device. Background technique [0002] In various large, medium and small cities in my country, the detection of PM2.5 concentration in smog is particularly important due to the increasingly serious pollution of smog. The main components of smog include sulfur dioxide, nitrogen oxides, and inhalable particulate matter. The formation of smog is closely related to the concentration of PM2.5 particles in the air, and the concentration of PM2.5 particles directly affects surface visibility. [0003] The usual method is to distribute smog monitors in different locations. This kind of point-like distribution monitoring method draws conclusions through statistics and speculation, which often have a large difference from the real smog concentration, and it is difficult to measure anytime and anywhere. ...

AI Technical Summary

Problems solved by technology

At present, there are some sharpness measurement methods. Most of the algorithms extract some feature quantities from the image that can reflect the image sharpness to a certain extent, and use these feature quantities as the image sharpness measurement value. These feature quantities have certain effect, but generally has the defect that the scope of application is relatively narrow, and it can only have certain effects on certain specific images. In addition, due to the large differences in scenes, the feature quantities obtained in different scenes are not necessarily comparable.

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