Method and device for adaptive generation of luminance threshold

Abstract

The invention provides a method and a device for the adaptive generation of luminance threshold. The method comprises the following steps: firstly collecting video images; reckoning the luminance histogram; analyzing the luminance histogram, determining an analyzing range of the luminance histogram, searching a minimum window satisfying the analyzing range, and computing the average value and themaximum value of luminance of the minimum window; obtaining the optimal luminance threshold, determining the range and the level of the luminance threshold, determining the proximate range of the luminance threshold according to the average luminance, and determining the optimal luminance threshold according to the maximum luminance. The method for the adaptive generation of the luminance threshold determines the corresponding optimal luminance threshold based on the different environments, and then judge whether is a flame according to the optimal luminance threshold, thereby being adaptableto the complicated environment.

Description

technical field [0001] The invention relates to image processing, in particular to a method for adaptively generating brightness thresholds for flame detection. Background technique [0002] With the rapid development of the economy, various high-rise building groups continue to emerge. In high-rise buildings, where the population is dense and the property is concentrated, the problem of fire safety is highlighted. Traditional fire detection technologies mainly include temperature sensing, smoke sensing, light sensing and composite modes. Not only do these techniques need to be improved in terms of sensitivity and reliability, but they cannot respond to the first signs of a fire. Therefore, in recent years, image-based flame detection technology has been actively researched. This technology can be used in dusty and high-humidity indoor environments. It has high sensitivity to the initial fire signal and has a good application prospect. Most image-based flame detection tec...

AI Technical Summary

Problems solved by technology

The brightness threshold above is determined by a certain proportion of the brightness of the environment. The selection of the brightness threshold in this way enhances the adaptability to the environment, but as the environment changes slightly, the resulting flame area becomes less Stable, so when there are interference targets such as strong light sources in the environment, it will have a greater impact on the recognition effect of real flames

Images