A coal mine image preprocessing method

Abstract

The invention discloses a coal mine underground image preprocessing method, which comprises the following steps: 1. Image collection; 2. Image processing: a processor performs image processing on digital images collected at each sampling time according to time sequence; When the digital image collected at the time of collection is processed, the process is as follows: image reception and synchronous storage, processing time judgment, image enhancement and segmentation processing, and the image segmentation process is as follows: Ⅰ. Two-dimensional histogram establishment; Ⅱ. Fuzzy parameter combination optimization : Using particle swarm optimization algorithm to optimize the combination of fuzzy parameters used in the image segmentation method based on two-dimensional fuzzy partition maximum entropy; Ⅲ. Image segmentation. The method of the invention has the advantages of simple steps, reasonable design, convenient realization, good processing effect, high practical value, and can complete the preprocessing process of coal mine underground images simply, quickly and with high quality.

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 ...

AI Technical Summary

Problems solved by technology

However, with the improvement of segmentation performance, the dimension of the solution space of the problem increases from the original two-dimensional to four-dimensional, and the amount of calculation increases exponentially. long, affecting practical

Therefore, it is difficult for the existing one-dimensional maximum entropy method to take into account both grayscale information and spatial information when segmenting, so that image segmentation often contains many isolated points or isolated areas, which brings difficulties to subsequent image classification and pattern recognition, and affects to the correct detection rate

The maximum entropy segmentation method based on two-dimensional fuzzy partition utilizes the gray level information and spatial neighborhood information of the image, and takes into account the fuzziness of the image itself, but has the disadvantage of slow operation speed.

[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

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