Detection method of expressway surveillance video definition based on corner features

Abstract

The invention discloses a highway monitoring video definition detection method based on corner features. The method includes the following steps that firstly, a corner detection area is selected, wherein a highway monitoring video is obtained, single-frame images are obtained through frame extracting, and image areas, except road areas, in the single-frame images are selected as detection areas; secondly, grey-scale image conversion and smooth denoising are carried out; thirdly, corner extraction is carried out, wherein all corners in the detection areas are found, and a certain number of strong corners are selected; fourthly, definition calculation is carried out, wherein the average energy difference between pixels in a specific adjacent domain of each strong corner and the corresponding strong corner are calculated, the obtained average energy differences of all the strong corners are summed and analyzed, and definition of the single-frame images is obtained; fifthly, cumulative results are obtained by comparing definition of the multiple single-frame images and a set threshold, and definition of the highway monitoring video is judged.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a detection method for expressway monitoring video clarity based on corner features. Background technique [0002] With the rapid development of monitoring system technology and the rapid reduction of the application cost of monitoring system technology, video monitoring technology is widely used in the monitoring system of expressways. Since expressways can be divided into tunnels and open-air road sections according to their scenes, the environmental factors of each scene are very different, the objects to be monitored are also different, and the requirements for cameras are also different. There are various types of cameras installed on the expressway. The installation time of each batch of cameras is different, and its aging degree is also different, so the quality and definition of the formed video are also different. There are a large number of cameras on the high...

AI Technical Summary

Problems solved by technology

Among them, the subjective evaluation method is to solicit people's opinions. The commonly used method is the Mean Observer's Score-MOS method (also called the Mean Opinion Score-MOS method). This evaluation method is not only time-consuming and cumbersome , and it is also a costly evaluation method, which is inconvenient to use in the application scenario of expressway

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