Visible light-based open fire smoke rapid identification method and system

Abstract

The invention relates to a visible light-based open fire smoke rapid identification method and system. The method comprises the following steps: carrying out graying processing on an obtained fire image to obtain a gray scale fire image; calculating texture feature information of the grayscale fire image by adopting a spatial grayscale layer co-occurrence matrix method; carrying out smoothing processing and gray stretching on the gray fire image; extracting a suspected flame shape in the image subjected to smoothing processing and gray stretching processing by adopting an edge extraction operator; calculating characteristic parameters of the extracted suspected flame shape; and judging whether the suspected flame shape is flame or not according to the obtained characteristic parameters. According to the invention, the detection speed and accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of fire alarm monitoring, in particular to a visible light-based rapid identification method and system for open fire smoke. Background technique [0002] Traditional fire alarm systems based on open flame smoke detectors have been widely used in fire prevention and control due to their high sensitivity to open flame smoke and low cost. However, due to its special working principle, that is, the detector must be in contact with a certain concentration of open flame smoke to alarm, making it unable to be used in large spaces and open-air environments. In addition, the time it takes for the fire smoke to spread to the alarm detector prolongs the discovery time of the fire smoke, which is not conducive to the early detection of the fire, and even if a fire is found, it is impossible to obtain evidence later. [0003] Computer vision mainly studies the method of obtaining information from image data. In the vid...

AI Technical Summary

Problems solved by technology

However, the wavelet analysis method is often only aimed at specific forms of open flame smoke, which is difficult to meet the application requirements of some specific occasions.

Although researchers have proposed different open flame smoke detection algorithms, due to the variety of shapes of open flame smoke, the concentration and gray level of open flame smoke produced by different combustion objects are very different, and the detection backgrounds are different. It is difficult to find features that can well describe the smoke of open flames in the image

Images