Coal dust image recognition method for underground coal mine explosion-proof detection
An explosion-proof detection and image recognition technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low accuracy of segmentation algorithm, difficulty of fitting clustering algorithm to particles overlapping more than 3, and achieve recognition effect Good and stable, easy to promote and use, and strong practical effect
An explosion-proof detection and image recognition technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low accuracy of segmentation algorithm, difficulty of fitting clustering algorithm to particles overlapping more than 3, and achieve recognition effect Good and stable, easy to promote and use, and strong practical effect
CN113012179AInactive Publication Date: 2021-06-22李韵涵
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[0057] Such as figure 1 As shown, the coal dust image recognition method for underground coal mine explosion-proof detection of the present invention comprises the following steps:
[0058] Step 1. Infrared image collection and transmission of coal dust: the infrared image acquisition device shoots the infrared image of coal dust in the coal mine and transmits the captured infrared image of coal dust to the computer;
[0059] Step 2, image enhancement processing, the specific process is:
[0060] Step 201, the computer performs image enhancement processing on the coal dust infrared image based on the Retinex theory;
[0061] Step 202, the computer uses a histogram equalization algorithm to perform image enhancement processing on the coal dust infrared image obtained through the processing in step 201;
[0062] Step 3, image segmentation processing: the computer uses the region growing segmentation algorithm to perform image segmentation processing on the coal dust infrared i...
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The invention discloses a coal dust image recognition method for coal mine underground explosion-proof detection. The method comprises the following steps: 1, collecting and transmitting a coal dust infrared image; 2, image enhancement processing; 3, carrying out image segmentation processing; and 4, separating overlapped coal dust particles, and recognizing the coal dust particles. The method is simple in step, novel and reasonable in design and convenient to implement, coal dust overlapped particles can be reasonably separated out by adopting the fruit fly algorithm to separate the coal dust overlapped particles, good robustness is obtained, the recognition effect is good and stable, the speed is high, the image compatibility is extremely high, the recognition precision of the coal dust overlapped particles is improved, and the method is suitable for popularization and application. The method is good in effectiveness and robustness, high in adaptability, flexible and convenient to use, high in practicability, good in using effect and high in application and popularization value.
Description
technical field [0001] The invention belongs to the technical field of coal mine environment monitoring, and in particular relates to a coal dust image recognition method for underground explosion-proof detection of coal mines. Background technique [0002] China is a large coal-producing country, and coal will still be the main energy structure for a long time in the future. However, most of the coal mines in my country are mined underground, and there are many unsafe factors. Disaster accidents such as gas, coal dust and fire occur frequently, causing serious damage, many injuries, long interruption of production, and damage to shaft engineering or production equipment. Therefore, how to strengthen mine disaster prevention and control work, how to correctly handle the relationship between safety and production, safety and benefit, how to accurately, real-time, and quickly perform coal mine safety monitoring functions, and ensure the efficient operation of emergency rescue ...
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Patent Timeline
22 Jun 2021
Publication
CN113012179A
- IPC
- G06T7/13; G06T7/11; G06T5/40; G06T5/00; G06N3/00; G06K9/46
- CPC
- G06T5/40; G06T7/11; G06N3/006; G06T7/13; G06T2207/10048; G06V10/462; G06T5/70
- Inventors
- 不公告发明人