Fire image edge extraction processing method, terminal and system

Abstract

The invention relates to a fire image edge extraction processing method, a terminal and a system, and belongs to the technical field of fire flame extraction. The method comprises the steps of obtaining a fire image of a target object; performing pixel screening on the fire image by using pixel RGB and HSV information to obtain a first fire binary image of the target object, converting the fire image into a grayscale image, and obtaining a second fire binary image of the target object by using an Otsu algorithm; performing AND processing on the first fire binary image and the second fire binary image to obtain a third fire binary image of the target object; and performing edge extraction on the third fire binary image to obtain a first target flame edge extraction image of the target object. Compared with a classic canny algorithm and a local interference removal improved canny algorithm, the fire image edge extraction effect is better, and therefore the accuracy of fire flame extraction can be improved.

Description

technical field [0001] The application belongs to the technical field of fire flame extraction, and specifically relates to a fire image edge extraction processing method, terminal and system. Background technique [0002] Fire accidents are the most frequent and also cause one of the most serious destructive consequences. Among various fire accidents, chemical fires, especially hazardous chemical fires, have extremely terrible consequences, because once a fire occurs, chemical The risk of product leakage and explosion, once the explosion will produce strong destructive force, or cause significant loss of personnel and property. [0003] Image recognition is one of the effective solutions for fire detection of hazardous chemical storage and stacking, especially for the development of early fires, which can be judged according to the morphological characteristics of fire flames such as shape outline, area change, and number of sharp corners. In order to obtain the basic char...

AI Technical Summary

Problems solved by technology

For example, the improved canny algorithm with partial de-interference, please refer to image 3 , image 3 In order to use the improved canny algorithm for local interference removal to figure 1 The fire flame extraction map obtained by processing, by comparing figure 2 and image 3 It can be seen that compared with the classic canny algorithm, there is a certain improvement in the global denoising and local de-interference of fire scenes, but there are still obvious non-flame factor interference, which seriously affects the follow-up fire judgment based on the basic characteristics of the flame. The edge extraction technology of fire detection in the fire scene of chemical stacking still needs to be improved

Images