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Coal rock boundary image enhancement method based on chaos sparrow search algorithm

A technology of image enhancement and search algorithm, which is applied in image enhancement, image data processing, calculation, etc., can solve the problems of over-enhancement of details in dark parts, low overall brightness, and large dust concentration, etc., to achieve good image visual effects and improve search Excellent precision and improved visual effects

Active Publication Date: 2021-09-03
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0007] For the environment of high dust concentration, uneven illumination and low overall brightness in coal mines, the specific technical problem to be solved by the present invention is to solve the problems of poor universality, lack of adaptability and intelligence of existing image enhancement methods and low illumination The enhancement method of coal-rock boundary image based on the chaotic sparrow search algorithm is provided to solve the problems of over-enhancement of local bright areas of the image and poor effect of dark detail enhancement caused by the enhancement of gray-scale image of coal-rock boundary.

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  • Coal rock boundary image enhancement method based on chaos sparrow search algorithm
  • Coal rock boundary image enhancement method based on chaos sparrow search algorithm
  • Coal rock boundary image enhancement method based on chaos sparrow search algorithm

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specific Embodiment approach

[0071] Attached below figure 1 And attached figure 2 The specific embodiment of the present invention is described further, the specific embodiment of the present invention is as follows:

[0072] as attached figure 1 , attached figure 2 As shown, a coal-rock boundary image enhancement method based on the chaotic sparrow search algorithm, the method is carried out according to the following steps:

[0073] Step 1: Input the original coal-rock boundary image S and perform grayscale processing. Use f(i, j) to represent the gray value of the original image at the pixel point (i, j), read the gray value of each pixel point of the original image, and count each gray level k; the range of k value is 0-255 ; The number of occurrences of k is L(k), and the gray histogram of the original image is obtained;

[0074] Step 2: Use the grayscale histogram of the obtained image to scan L(k) for k from 0 to 255 to obtain the maximum grayscale value L of the original image max and th...

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Abstract

A coal rock boundary image enhancement method based on a chaos sparrow search algorithm introduces a chaos mapping mechanism to perform chaos disturbance on sparrow populations in the sparrow search algorithm, so the initialized populations are uniformly distributed in a random mode, and the convergence speed of the algorithm is accelerated; chaos disturbance is carried out on individuals with low adaptive values in the search process, so that the algorithm jumps out of local optimum more easily, and the stability and precision of the algorithm are enhanced; finally, a chaotic sparrow search algorithm is combined with a normalized incomplete Beta function to adaptively select parameters to obtain an optimal image enhancement parameter, so that an optimal gray curve is found, and adaptive enhancement of the contrast of the coal rock boundary gray image is realized. The method has the advantages that low-illumination and low-contrast image features of an underground coal mine are improved, the problems of excessive enhancement of a local bright area of the image generated after enhancement, poor enhancement effect of details of a dark part and the like can be avoided, and the visual effect and the quality of the enhanced image are remarkably improved.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a coal-rock boundary image enhancement method based on a chaotic sparrow search algorithm. Background technique [0002] Coal, as the main energy source in our country, is not only the main fuel, but also an important industrial raw material. However, due to the wide distribution of coal fields in our country, the complicated geological conditions, the relatively backward level of mining technology, and the low quality of production personnel, the safety of coal mines has always been a constraint. The primary problem with coal mining efficiency and coal production. Coal-rock interface automatic recognition technology is one of the important technologies to realize fully mechanized mining with fewer people, and it is also the key to realize high-yield and high-efficiency coal mine production and rational utilization of coal resources. With the development of mach...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40G06N3/00
CPCG06T5/40G06N3/006
Inventor 田慕玲杨宇博许春雨李哲华李倩倩
Owner TAIYUAN UNIV OF TECH
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