Anti-sharpening masking and NSCT algorithm based mine image enhancing method

An anti-sharpening mask and image enhancement technology, applied in image enhancement, image data processing, calculation, etc., can solve the problems of noise sensitivity, high frequency part enhancement, overshoot, etc., to improve low illumination and suppress noise enhancement , the effect of avoided losses

Pending Publication Date: 2017-10-20
CHINA UNIV OF MINING & TECH (BEIJING)
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for image enhancement in underground coal mines, which is used to solve the problems of being very sensitive to noise and overshooting in the unsharp mask technology in the existing image enhancement methods for underground coal mines, and at the same time compensate for high frequency Part of the problem of not getting good enhancements

Method used

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  • Anti-sharpening masking and NSCT algorithm based mine image enhancing method
  • Anti-sharpening masking and NSCT algorithm based mine image enhancing method
  • Anti-sharpening masking and NSCT algorithm based mine image enhancing method

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0032] 1. Judging image details

[0033] (1) Calculate the local variance v(i, j) of each pixel, that is, a (2n+1)×(2n+1) window, f(i, j) is the gray value of the pixel in the center of the window, and the pixel The local variance of (i, j) is:

[0034]

[0035] Among them, f(k, l) is the gray value at the pixel point (k, l), Indicates the local mean of the pixel point (i, j), and n indicates an integer.

[0036] local mean of pixels for:

[0037] v(i, j) represents the level of detail of the pixel point (i, j).

[0038] (2) Set two thresholds T1 and T2, and T1

[0039] (3) According to the size of v(i, j), the image is divided into three detail areas: low, medium and high, namely: if v(i, j)1 It is a low-detail area; if T 1 2 It is the medium detail area; if v(i, j)>T 2 is a high detail area.

[0040] 2. Weighted instead of median filtering...

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Abstract

The invention discloses an anti--sharpening masking and NSCT algorithm based mine image enhancing method. According to the invention, an anti--sharpening masking method is combined with NSCT (Non Subsample Contourlet Transform). The method includes dividing an image into three detail degrees including a high detail degree, a middle detail degree and a low detail degree. Low details are subjected to weighing replacement median filtering treatment. High detail areas are subjected to middle-degree enhancement and middle detail areas are subjected to comparatively high degree enhancement. An NSCT-based high frequency image enhancement algorithm is applied to the image and high frequency coefficients are classified based on a bayes threshold value estimation method. Strong edges, weak edges and noises are determined and different coefficients are treated separately. According to the invention, image fuzziness caused by noise removal is avoided and the enhancement of the image meets human eye vision features. Underground coal mine image features of low luminance and low contrast are improved and overshoot is avoided. Image detail loss is avoided, the enhancement effect is good and noise enhancement is inhibited.

Description

technical field [0001] The invention relates to the field of image enhancement, in particular to an image enhancement method for underground coal mines. Background technique [0002] Coal is the most important energy source in our country, due to its economical price and abundant reserves, especially for power generation. 80% of my country's energy comes from coal. However, the mining of coal mines is indeed very difficult. The main reasons are as follows: 1. The natural disasters in our country are serious; 2. The production process is complicated; 3. The production equipment and methods are backward. The first two reasons are basically irreversible. The third reason can be to make coal mining easier by improving production and using advanced equipment. However, due to the large number of coal mine production enterprises in our country, especially many small enterprises lack management technology and backward production methods, many coal mine accidents have occurred, an...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/75G06T5/70
Inventor 刘晓阳元梦莹
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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