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Coal-mine underground image preprocessing method

An image preprocessing, coal mine technology, applied in the field of image processing

Inactive Publication Date: 2014-07-23
XIAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In summary, there is a lack of a coal mine underground image preprocessing method with simple steps, reasonable design, convenient implementation, good processing effect, and high practical value, which can easily, quickly and high-quality complete the preprocessing process of coal mine underground images

Method used

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  • Coal-mine underground image preprocessing method

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0062] Such as figure 1 A coal mine image preprocessing method shown includes the following steps:

[0063] Step 1, image acquisition; obtain the digital image of the area to be detected under the coal mine in real time through the CCD camera 1, and collect the digital image acquired by the CCD camera 1 synchronously through the video capture card 2 and according to the preset sampling frequency, and The digital images collected at each sampling moment are transmitted to the processor 3 synchronously.

[0064] The CCD camera 1 is connected with a video capture card 2 , and the video capture card 2 is connected with a processor 3 . In this step, the size of the digital image collected at each sampling moment is M×N pixels, where M is the number of pixels on each row in the collected digital image, and N is the number of pixels on each column in the collected digital image quantity.

[0065] Step 2, image processing: the processor 3 performs image processing on the digital im...

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Abstract

The invention discloses a coal-mine underground image preprocessing method which includes the following steps: 1. image acquisition; 2. image processing: a processor performs image processing on digital images acquired at different sampling times according to a time sequence, wherein when a digital image acquired at any acquisition time is processed, the process is as follows: image reception and synchronous storage, processing time judgment and image enhancement and segmenting processing, wherein the image segmenting process is as follows: I. establishing a two-dimensional histogram; II. optimizing fuzzy parameter combination: using a particle swarm optimization algorithm to optimize fuzzy parameter combination which is used by an image segmenting method based on a two-dimensional fuzzy division maximum entropy; III. segmenting images. The coal-mine underground image preprocessing method is simple in step, reasonable in design, convenient to realize and great in processing effect, high in practical value and capable of completing a preprocessing process of coal-mine underground images in a simple and convenient, rapid and high-quality manner.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a coal mine underground image preprocessing 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 occluders in a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/60
Inventor 王媛彬
Owner XIAN UNIV OF SCI & TECH
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