High-voltage transmission line camera image abnormality automatic judgment method

Abstract

The invention discloses a high-voltage transmission line camera image abnormality automatic judgment method. The method comprises the following steps that: step 1, images are scaled to a fixed size, and gray-scale processing is performed on the images; step 2, the gray-scale mean values of each image is calculated, and whether abnormalities exist in the images is judged according to the gray-scalemean values; step 3, an LBP operator is adopted to calculate the texture information of the images; step 4, the variances of the images are calculated, and whether abnormalities exists in the imagesis judged according to the variances of the images; step 5, binarization is performed on the images; step 6, the proportion of pixels in each binarized upper 1 / 2 image which have gray values that arenot 0 in the corresponding upper 1 / 2 image is calculated, and whether abnormalities exist in the images is judged according to the proportions; and step 7, the number of images where abnormalities exist continuously is calculated, if the number reaches a certain number, it is determined that an image abnormal phenomenon occurs. With the method of the invention adopted, calculation amount can be effectively reduced; abnormal fault detection can be simplified; and the detection effect of the image abnormal phenomenon of a camera can be greatly improved.

Description

technical field [0001] The invention relates to an automatic judgment method for abnormality of a camera image of a high-voltage transmission line, and belongs to the technical field of image monitoring. Background technique [0002] At present, under weather conditions such as fog and haze, due to the scattering and absorption of a large number of suspended particles and aerosols in the air, the images collected by the camera appear fogging. In addition, images captured at night, covered by plastic bags, or in other poor conditions are often overall dark or blurry. Therefore, people have paid extensive attention to the problem of automatic detection of camera image anomalies. The current dominant approach utilizes video data for anomaly detection. However, this method is computationally intensive and requires high video data quality. [0003] In order to ensure the safety of the surrounding environment of the transmission line and avoid related hidden dangers endangering...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem of large amount of calculation and high video quality requirements in the traditional method, the present invention provides an automatic judgment method for the abnormality of the camera image of the high-voltage transmission line, which can not only effectively reduce the amount of calculation, but also simplify the detection of abnormal faults. It can also improve the operation speed of the algorithm

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