Early fire smoke detection method based on semi transparent feature

Abstract

The invention relates to an early fire smoke detection method based on a semi transparent feature. The method includes 1, acquiring an image as an original one; 2, calculating a recover image of the original image, if the original image is a first frame image being acquired, storing the image and the recover image thereof as a background image and the recover image thereof, repeating the step 1, if not, executing a step 3; 3, acquiring the similarity of the corresponded small regions of the two recover regions; 4, establishing a dissimilar block marking image IO1 different to the recover image in size; 5, calculating the similarity of each image block of the original image and background image; 6, establishing a dissimilar block marking image IO2 different to the original image in size; 7, acquiring image semi transparent regions; 8, searching for a communication region in the semi transparent regions, and calculating the area; 9, searching for a complete smoke region; 10, calculating a dynamic image; 11, outputting alarm signals, and marking the smoke region location in the original image. The method can be applied to the fields of petrochemical factories, large warehouses, large-scale public places and so on.

Description

technical field [0001] The invention relates to a fire smoke detection method, in particular to an early fire smoke detection method based on translucent features, and belongs to the technical field of fire monitoring and alarm. Background technique [0002] Fire is one of the major disasters that most frequently and universally threaten public safety and social development. In order to effectively prevent fires, it is very important to do a good job in fire warning. At present, gas or temperature sensors are commonly used to monitor fires. This method requires the fire to extend to a certain distance from the sensor to give an alarm. It is difficult to detect danger early. To achieve better results, a large number of sensors need to be installed. It is only suitable for homes and small public places. Moreover, the sensor is more sensitive to environmental conditions. Most sensors will be poisoned if they are placed in harsh environments such as high humidity, high temperat...

AI Technical Summary

Problems solved by technology

[0004] To sum up, the existing methods are mainly based on the color features, static features and dynamic features of the smoke image to judge and identify fire smoke. These methods generally have the problems of high computational complexity and high environmental conditions.

In addition, the above-mentioned methods all have an insurmountable defect that they all have a high false alarm rate, especially in complex outdoor environments, where the false alarm rate remains high and it is difficult to be practical

Images