Improvement-based four-way operator video noise detection method

Abstract

The invention discloses an improvement four-way operator-based video noise detection method which relates to the network video monitoring technology. The video noise detection method comprises the steps of: scanning an image according to the four-way operator to solve the minimal value of a four-way operator central value and record and store the minimal value so as to further solve the number of pixel points in a smooth area in the image of the frame; and finally, judging whether the image of the frame has noise or not. According to the improvement four-way operator-based video noise detection method provided by the invention, the work efficiency for operation and maintenance is improved, and the labor cost is lowered. Videos can be monitored in real time, the performance is stable, the speed is fast, the efficiency is high and the false alarm rate is low; the improvement four-way operator-based video noise detection method is strong in universality, strong in transportability and agile in expandability; and the method is suitable for devices of various factories and can be applied to various network video monitoring systems.

Description

technical field [0001] The invention relates to network video monitoring technology, in particular to a video noise detection method based on an improved four-direction operator. Background technique [0002] The video quality diagnosis system is an intelligent network video monitoring system for video fault analysis and early warning. Accurate analysis, judgment and alarm of common camera faults such as missing and problems arising during use. [0003] Noise in the video is due to line aging, transmission failure, poor contact or electromagnetic interference, and there are scattered flying spots, thorns, snowflakes, image jitters or scrolling caused by linear interference in the video image. At present, it is mainly judged whether there is noise in the video by manually watching the video, which is inefficient and wastes a lot of manpower and material resources. Through the video noise detection technology in the video quality diagnosis system, it is helpful to help users...

AI Technical Summary

Problems solved by technology

[0005] 1. Use hardware devices to detect a single type of noise, resulting in high implementation costs and single functions

[0006] 2. There is a problem of false detection. The existing method mainly uses a four-direction operator to find and detect noise points in the image. When this method is used to detect noise, it is very easy to produce video scenes with complex textures and large movements. False positives, such as swinging leaves, intersections with many people walking, etc.

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