Image type fire flame identification method

A flame recognition, image-based technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high false alarm and false alarm rate, low reliability and poor use effect.

Active Publication Date: 2014-06-25
东开数科(山东)产业园有限公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an image-type fire flame identification method for the above-mentioned deficiencies in the pr

Method used

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  • Image type fire flame identification method
  • Image type fire flame identification method
  • Image type fire flame identification method

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Embodiment Construction

[0077] Such as figure 1 A kind of image type fire flame recognition method shown, comprises the following steps:

[0078] Step 1. Image acquisition: use an image acquisition unit and follow a preset sampling frequency f s , collect the digital image of the area to be detected, and transmit the digital image collected at each sampling moment to the processor 3 synchronously. The image acquisition unit is connected to the processor 3 .

[0079] In this embodiment, the image acquisition unit includes a CCD camera 1 and a video acquisition card 2 connected with the CCD camera 1, the CCD camera 1 is connected with the video acquisition card 2, and the video acquisition card 2 is connected with the processor 3 connect.

[0080] In this embodiment, the size of the digital image collected at each sampling moment is M1×N1 pixels. Where M1 is the number of pixels on each row in the collected digital image, and N1 is the number of pixels on each column in the collected digital image....

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Abstract

The invention discloses an image type fire flame identification method. The method comprises the following steps of 1, image capturing; 2, image processing. The image processing comprises the steps of 201, image preprocessing; 202, fire identifying. The fire identifying comprises the steps that indentifying is conducted by the adoption of a prebuilt binary classification model, the binary classification model is a support vector machine model for classifying the flame situation and the non-flame situation, wherein the building process of the binary classification model comprises the steps of I, image information capturing;II, feature extracting; III, training sample acquiring; IV, binary classification model building; IV-1, kernel function selecting; IV-2, classification function determining, optimizing parameter C and parameter D by the adoption of the conjugate gradient method, converting the optimized parameter C and parameter D into gamma and sigma 2; V, binary classification model training. By means of the image type fire flame identification method, steps are simple, operation is simple and convenient, reliability is high, using effect is good, and the problems that reliability is lower, false or missing alarm rate is higher, using effect is poor and the like in an existing video fire detecting system under a complex environment are solved effectively.

Description

technical field [0001] The invention belongs to the technical field of image acquisition and processing, and in particular relates to an image-based fire flame identification method. Background technique [0002] Fire is one of the major disasters in mines, which seriously threatens human health, natural environment and safe production of coal mines. With the advancement of science and technology, automatic fire detection technology has gradually become an important means of monitoring and fire warning. Nowadays, in coal mines, fire prediction and detection are mainly based on monitoring the temperature effect of fire, combustion products (effects of smoke and gas) and electromagnetic radiation effects, but the above-mentioned existing detection methods are in terms of sensitivity and reliability. Both have yet to be improved, and cannot respond to early fires, so they are not compatible with the increasingly stringent fire safety requirements. Especially when there are oc...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 王媛彬
Owner 东开数科(山东)产业园有限公司
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