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Flame detection method and system and computer readable storage medium

A flame detection and flame technology, applied in the field of image recognition, can solve the problems of network model flame detection performance requirements are high, and it cannot be applied to edge devices.

Pending Publication Date: 2022-04-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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Problems solved by technology

[0004] The purpose of the embodiments of the present application is to provide a flame detection method, system, and computer-readable storage medium to solve the problem of high flame detection performance of the network model due to scene changes and other reasons in the prior art for fire detection. Problems that cannot be applied to edge devices

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  • Flame detection method and system and computer readable storage medium
  • Flame detection method and system and computer readable storage medium
  • Flame detection method and system and computer readable storage medium

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Embodiment Construction

[0054] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0055] One or more embodiments of the present application provide a flame detection method, system, and computer-readable storage medium for re-detecting suspected flame areas on the premise of removing irrelevant background interference.

[0056] Please refer to figure 1 , figure 1 A flow chart of the steps of a flame detection method provided in the embodiment of the present application, including:

[0057] Step 100, acquiring an image to be detected;

[0058] Step 200, constructing a flame tripartite map for the image, the foreground area of ​​the flame tripartite map is the flame foreground;

[0059] Step 300, using the image matting algorithm to calculate the opaque mask of the flame foreground, and obtain the suspected flame area;

[0060] Step 400, using a lightweight neural network to clas...

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Abstract

According to the flame detection method and system and the computer readable storage medium provided by the invention, the suspected flame region is re-detected on the premise of constructing the flame tripartite graph and removing irrelevant background interference on the to-be-detected image, so that the flame detection accuracy is improved, the requirement on the flame detection performance of the network model is reduced, and the flame detection efficiency is improved. According to the method, fire detection can be carried out through the lightweight neural network, so that the method is suitable for an edge device end, a suspected flame area is identified, and positioning of a fire point is realized.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular, to a flame detection method, system and computer-readable storage medium. Background technique [0002] Vision-based flame detection methods have the advantages of wider deployment coverage, low price, and fast response. They can be specifically divided into fire detection methods based on expert rules and fire detection methods based on deep learning. [0003] Fire detection methods based on expert rules rely on manually designed flame features, such as color, texture, and motion features. These hand-designed features are difficult to apply to scene transformations, such as brightness transformations, etc. The fire detection method based on deep learning is applied to the heavy network model, and a complete image is directly input into the classifier, and the limitation of manual features is overcome by using deep learning. However, the lightweight network mo...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/194G06N3/08G06N3/04G06K9/62G06V10/44G06V10/56G06V10/764G06V10/82
Inventor 梁椅辉刘程明温雯冯夫建邹昆李文生
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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